3.3 Работа привода под нагрузкой
Кроме исследования работы привода без нагрузки целесообразно провести анализ его работы под действием нагрузки, которая представляет собой момент сопротивления (или статический ток ).
Синтезированная выше система представлена передаточной функцией, которая не позволяет ввести нагрузку, поскольку электромеханическая часть двигателя и формирователь тока завязаны в одно звено. Поэтому необходимо произвести эквивалентные преобразования структурной схемы привода, которые не изменят сути передаточной функции, но позволят ввести нагрузку.
Электромеханическая часть двигателя, т.е. та часть в которой происходит преобразование тока в скорость вращения, описывается передаточной функцией, представленной выражением (1.2). Преобразуем это выражение в z-форму.
![](data:image/png;base64,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)
(3.4)
Теперь для осуществления эквивалентных преобразований структурной схемы достаточно передаточную функцию помножить на выражение, обратное (3.4 ), т.е.:
![](data:image/png;base64,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)
(3.5)
Затем поставить дополнительно суммирующее устройство, на которое подать нагрузку.
Таким образом, упрощенно структурную схему можно представить в виде, показанном на рисунке (3.6)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcIAAAAMCAYAAADxjb01AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAB3SURBVHja7dfBCYBADEXBgIuHXbboVGhJsQLPKpnANPAvj0RmBgB0ZQSgvXrnLtsLIUDnEJbthRBACBFCACFECAGEECEE+FYI95o1IioejZprC6EQAvT4CNd5VIzpIxRCACEUQiEEEEIhFEIAIRRCIQQQQiH8sRtdUtpDbEmkVAAAAABJRU5ErkJggg==)
Рисунок 3.6-Схема привода для определения реакции его на нагрузку
Приведенная выше схема реализуется на MATLABе. В результате полученного переходного процесса можно сказать, что при нагрузке, близкой к номинальной в приводе в момент введения этой нагрузки ( определяется “дискретными часами” ) наблюдается просадка скорости, которая затем устраняется благодаря влиянию регулятора. Переходный процесс для привода при включении нагрузки представлен ниже.
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Рисунок 3.7 – Структурная схема на MATLABс набросом нагрузки.
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFFAhcDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwBKKKKAMvWfFOg6BqJsL59Ra4WKORjDboyDegYAEuCeG9Kof8LD8Lf9Rj/wFj/+O1yPxL/5HWb/AK9bb/0QlcjQB65/wsPwt/1GP/AWP/47R/wsPwt/1GP/AAFj/wDjteR0UAeuf8LD8Lf9Rj/wFj/+O0f8LD8Lf9Rj/wABY/8A47XkdFAHrn/Cw/C3/UY/8BY//jtW9L8Y+G9X1KGwgfVUkmJCs9rHgYBPOJPavGK0NEvZdP1i3uoUd5IySqou4ngjp+NAHpn/AAsPwt/1GP8AwFj/APjtH/Cw/C3/AFGP/AWP/wCO15HRQB65/wALD8Lf9Rj/AMBY/wD47R/wsPwt/wBRj/wFj/8AjteR0UAeuf8ACw/C3/UY/wDAWP8A+O0f8LD8Lf8AUY/8BY//AI7XkdFAHrn/AAsPwt/1GP8AwFj/APjtW9P8Y+G9Se4WJ9VUwW8lw2+1j5VBkgfvOteMVe0y7uLR7o27RAy20kT+aQMowwcZ746UAenf8LD8Lf8AUY/8BY//AI7R/wALD8Lf9Rj/AMBY/wD47XkdFAHrn/Cw/C3/AFGP/AWP/wCO0f8ACw/C3/UY/wDAWP8A+O15HRQB65/wsPwt/wBRj/wFj/8AjtH/AAsPwt/1GP8AwFj/APjteR0UAeuf8LD8Lf8AUY/8BY//AI7Vu18ZeG7uxvrtH1UJZoryBrWPJDOEGP3nqwrxir1pfNbadqFsHCrdRojL5ed211brn5env6UAenf8LD8Lf9Rj/wABY/8A47R/wsPwt/1GP/AWP/47XkdFAHrn/Cw/C3/UY/8AAWP/AOO0f8LD8Lf9Rj/wFj/+O15HRQB65/wsPwt/1GP/AAFj/wDjtH/Cw/C3/UY/8BY//jteR0UAeuf8LD8Lf9Rj/wABY/8A47VpfGXhttIl1IPqvkxzpAV+yx7izKzA/wCs6YQ/pXjNaCXc6+HZ7MQA273ccrS55DKjgL+IYn8KAPTP+Fh+Fv8AqMf+Asf/AMdo/wCFh+Fv+ox/4Cx//Ha8jooA9c/4WH4W/wCox/4Cx/8Ax2j/AIWH4W/6jH/gLH/8dryOigD1z/hYfhb/AKjH/gLH/wDHaP8AhYfhb/qMf+Asf/x2vI6KAPXP+Fh+Fv8AqMf+Asf/AMdq1L4z8NRaXbagz6qYriWSJVFrHuBQITn950+cfka8Zq5NdySaRaWbSRGKGaWRUCnepYICSemDtGPoaAPUP+Fh+Fv+ox/4Cx//AB2j/hYfhb/qMf8AgLH/APHa8jooA9c/4WH4W/6jH/gLH/8AHaP+Fh+Fv+ox/wCAsf8A8dryOigD1z/hYfhb/qMf+Asf/wAdo/4WH4W/6jH/AICx/wDx2vI6KAPXP+Fh+Fv+ox/4Cx//AB2rV34z8NWdvZTyPqpW8hMyBbWPIAdkwf3nXKH9K8Zq9fXclzaabE6sFt7cxoSuAR5jtkeoyxoA9O/4WH4W/wCox/4Cx/8Ax2j/AIWH4W/6jH/gLH/8dryOigD1z/hYfhb/AKjH/gLH/wDHaP8AhYfhb/qMf+Asf/x2vI6KAPXP+Fh+Fv8AqMf+Asf/AMdo/wCFh+Fv+ox/4Cx//Ha8jooA9c/4WH4W/wCox/4Cx/8Ax2rV/wCM/DWnTxxSvqrNJBFOCtrHjbIgcD/WdcMM14zVzUrqe7uInuGiLLbwxr5ZBG1Y1Vc474Az75oA9Q/4WH4W/wCox/4Cx/8Ax2j/AIWH4W/6jH/gLH/8dryOigD1z/hYfhb/AKjH/gLH/wDHaP8AhYfhb/qMf+Asf/x2vI6KAPXP+Fh+Fv8AqMf+Asf/AMdo/wCFh+Fv+ox/4Cx//Ha8jooA9c/4WH4W/wCox/4Cx/8Ax2r914r8O2mvyaO8mqGdLj7OXW1j27s4z/rM4rxStpb1tS8aR3ruHae+WQsE2Zy4525OPpmgD2meIwXMsJOTG7Jn1wcUVJqH/ITvP+u8n/oRooAr0UUUAeXfEv8A5HWb/r1tv/RCVyNdd8S/+R1m/wCvW2/9EJXI0AFFFFABRRRQAVPZkC7jJMwGesP3+naoKmtHEd1GxkmjAP34R8447cj+dAENFFFABRRRQAUUUUAFTWyljJiOJ8Rsf3j7ccdRyMkdhz9DUNT2qb2l/cpJiJjh327eOo5GSPTv6UAQUUUUAFFFFABRRRQAVPDJttrlPPaPeqjYFyJPmBwT2x1/CoKnhfbbXK+eE3qo2bc+Z8wOM9sdfwoAgooooAKKKKACiiigAqYR5snk8hziRV87PyjIPy4x1OM9exqGphHmzeTyZTiRV80H5BkH5Tx1OM9ex4oAhooooAKKKKACiiigAqZz/ocQ3RH53+VV+ccL1OOR6c9j07w1O/8Ax5Q8w/ffhR8/Rfve3p+NAEFFFFABRRRQAUUUUAFTTEGK3wZTiPnf0HzH7vt/XNQ1NM4aKACSVtqYIfovzE4Xnp37ck0AQ0UUUAFFFFABRRRQAVNcDbIv7uNP3aHEbbgflHJ5PJ6kdjngdKhqa5XZIo8pI8xocI+4HKjnqeT1I7Zxx0oAhooooAKKKKACiiigArUspPN8UWsnntPuvEPmsuC/zjnHasutSzfzPFNq/nCbdeIfNC7d/wA45x2oA9z1D/kJ3n/XeT/0I0Uah/yE7z/rvJ/6EaKAK9XXSE6JFKsIWYXDRtJuJLjaD+H4VSpd7eX5e47M7tueM9M0Aef/ABF0Z5/EdxfC/wBORVtLdvJe6US8QJxs65PYd+K4ZLYuYv3sI8xGfmQDbjPB9CccDvketdP8S/8AkdZv+vW2/wDRCVyNAE6Wpfyf30C+aGI3SAbcZ+96dOKWO1Mnk/voF80kDdIBtx/e9Kr0UATx2pk8n99CvmsVG6QDbjHLeg5pI7YyeT+9hXzXKDc4G3py3oOevsfSoaKAJo7cyCI+bEvmSeX8zgbenJ9Bz19j6VPZxFLiGT7YIMymPzI3G9OPvdRxz1z61Sqezk8q7jk8+S3wf9bGMsvHYZH86AD7McZ82H/W+X/rB+f+770NbFQx82E7ZfL4cc+4/wBnjrUFFAEz2xQSHzYW8uTy/lcHd15HqOOvuKJLcx+d+9hbypNh2uDu68r6jjr7j1qGigCeS2MfnfvYW8pwp2yA7s55X1HHX6UslqY/O/fQN5RAO2QHdn+761XooAsPamMzfvoG8oAnbIDuz/d9evNTQWZ33QxBP5UBk4mA6gcrz8xGensfSqNT2sfmNL+4M22JmwGxtwPvfh6UADWxUyDzYTsjV+HHOccD1IzyPY+lBtiN372H5YhJ/rBznHA/2uensfSoKt6bp82qX8dnAY1dwzFpHCqqqCzMSeAAAT+FKUlFOT2QEtnot5qM5hs1SZxEJTtcYAPYnoDz0NW/+EZnAw+paTG/8SPeoCp9D70/X9WH2q60zSp2j0ZH2pFESqS7f42GTuJIzk57egrBrCLq1FzJ8qflr8/8vxHojb/4RqT/AKC2j/8AgclH/CNSf9BbR/8AwOSsSinyVf5/w/4IXRt/8I1J/wBBbR//AAOSp4vDsq29wo1vREDKAVa7Ql/mHAOOPXqOlc7U0TEW9wPMiXKj5WTLNyPunBwe/UcflRyVf5/w/wCCF0av/CNSf9BbR/8AwOSj/hGpP+gto/8A4HJWJRRyVf5/w/4IXRt/8I1J/wBBbR//AAOSj/hGpP8AoLaP/wCByViUUclX+f8AD/ghdG3/AMI1J/0FtH/8Dko/4RqT/oLaP/4HJWJRRyVf5/w/4IXRt/8ACNSf9BbR/wDwOSpR4Yf7Kx/tHTCQ4G8X6bBweD7ntz2Nc/UwA+xOds2fMUZH3Oh6+/p7Zo5Kv8/4f8ENDV/4RqT/AKC2j/8AgclH/CNSf9BbR/8AwOSsSijkq/z/AIf8ELo2/wDhGpP+gto//gclH/CNSf8AQW0f/wADkrEoo5Kv8/4f8ELo2/8AhGpP+gto/wD4HJR/wjUn/QW0f/wOSsSijkq/z/h/wQujb/4RqT/oLaP/AOByVIfD0hhSP+0tEG1id4vU3HOOCfQY4+prAqZx/ocR2xD53+ZW+c8L94Z4Hpx3PXsclX+f8P8AghdGr/wjUn/QW0f/AMDko/4RqT/oLaP/AOByViUUclX+f8P+CF0bf/CNSf8AQW0f/wADko/4RqT/AKC2j/8AgclYlFHJV/n/AA/4IXRt/wDCNSf9BbR//A5KP+Eak/6C2j/+ByViUUclX+f8P+CF0bf/AAjUn/QW0f8A8Dkpup6NcWR02OW/tpluIz5TLcKyRrvYdQThc59Od3pk41dTNpJvtM0Ca4uY7KxW0KyXU3Qfv5chVHLt7D8cDmonOdJpzldPy8mx2vsc5HbmQQnzYl82TyxucDb05b0HPX2PpVmy0e+1ED7HA0/7zYwjUts6fM2BwvPX2PpV+bV9O09BBotjG7KxJvr2IPI+QOAhyijr2J561Sute1e92i51O7l2Z275mOM/jVqdWSvGNvX/AC/4ItC+ngvXXjRxaxLufZh7mNWHuQWBA9zSP4O1WBS901lbRh9m+W8iAJ9sMcj3rBZizFmJLE5JJ5NJT5a38y+5/wCYaG3/AMI1J/0FtH/8Dko/4RqT/oLaP/4HJWJRS5Kv8/4f8ELo2/8AhGpP+gto/wD4HJU1z4YkWRR/aGjRfu0O0agjZyo569+uO2a56prpPLkQeSYcxo20tnOVB3fj1/Gjkq/z/h/wQ0NX/hGpP+gto/8A4HJR/wAI1J/0FtH/APA5KxKKOSr/AD/h/wAELo2/+Eak/wCgto//AIHJR/wjUn/QW0f/AMDkrEoo5Kv8/wCH/BC6Nv8A4RqT/oLaP/4HJR/wjUn/AEFtH/8AA5KxKKOSr/P+H/BC6Nv/AIRqT/oLaP8A+ByVpWvh+X/hI7eZtZ0Wb/SkYvFdqof5h0XAx9MCuSrTsWLeJ7VjJHJm7T54k2q3zjkDAwPwFHJV/n/D/ghoe6X5zqV2f+m79f8AeNFGof8AITvP+u8n/oRorcRXooooA8u+Jf8AyOs3/Xrbf+iErka674l/8jrN/wBett/6ISuRoAKKKKACiiigAqxZSeVeRv57QYJ/equ4rx6VXqxZSeVeRv54gwf9YV3bePSgCvRRRQAUUUUAFFFFABU9tH5jSjyJJtsTNhDjbgfePB4FQVNbx+YZB5Esu2NmxGfu4H3jweB3/mKAIa6HQUFlo2r6s8sCZt2s4A43OZJMZ2jBA/d7+eOtc9W7cusPgnT4kQZuL2aSR8nOUVAo9MfOa58QuZRh3f8AwX+Q0YVFFFdAgooooAKnhP8Ao9x88Iyo4dcsfmH3Tjg+vTjNQVPD/wAe1zzD91fvj5j8w+77+vtmgCCiiigAooooAKKKKACpgR9icZmz5i8D7nQ9f9r09s1DUwcfY3TzJQTIp2D7h4PJ56+nHc0AQ0UUUAFFFFABRRRQAVM4/wBEiby4xl2+cNlz93gjPAHY4GcnrjiGpnXFnE/lIMu48wPlmwF4IzwBnrjnJ644AIaKKKACiiigAooooAKs3FxJLbWkTXUkyQxlUjbOIcsSVX65zx61Wqed90VuPOEm2Mjbtx5fzMce/XOfegCCiiigAooooAKKKKACprlPLkUeS8OY0ba5yTlQd3Toeo+tQ1LcJ5bqPJkizGrYkPJyoO4cDg9R7EcnrQBFRRRQAUUUUAFFFFABWpZHPii1O6F/9MT5oV2ofnH3RgYH4CsutSz/AORptcmE/wCmJzAMJ98fd9qAPc9Q/wCQnef9d5P/AEI0Uah/yE7z/rvJ/wChGigCvRRRQB5d8S/+R1m/69bb/wBEJXI113xL/wCR1m/69bb/ANEJXI0AFFFFABRRRQAVPZv5d3GwmSHB/wBY6bgOO4wc/lUFT2jFbqMiSKPB+/Km5Rx3GDn8qAIKKKKACiiigAooooAKmtkDmTMU0mI2P7rtx1PB+Ud6hqe2ALS5WY4iY/uu3Hf/AGfWgCCt7xNcys2m2eVFvBY27xxqgUKzxIXPA5JPJJrBrd8ZSPJ4u1Iu5YrLsGT0UAAD6AACsJq9aPo/0/zH0MKiiitxBRRRQAVPD/x7XPEP3V++fm+8Pu+/r7ZqCp4R/o9x8kJwo5dsMPmH3Rnk+vXjNAEFFFFABRRRQAUUUUAFTCTFm8fnSjMit5QHyHAPzHnqM4HHc81DUwkxZPH57jMit5OPlOAfmznqM46dzQBDRRRQAUUUUAFFFFABU7piyhfyQu53Hm7vvYC8Y7Yz+OfaoKndMWUMnkFdzuPN3cPgLxjtjP60AQUUUUAFFFFABRRRQAVNM26K3Hmo+2MjaqYKfMeCccnvnnqB2xUNTTEmKAeZG2ExhFwV+Y8McDJ7554IGeMAAhooooAKKKKACiiigAqa4QJIoEcqZjQ4l6nKjkcDg9R7Y61DU1yAJFwJR+7T/W9fujp7entigCGiiigAooooAKKKKACtSz/5Gm1yIR/picQHKffH3fasutSyGPFFqNsK/wCmJ8sLbkHzj7pycj8TQB7nqH/ITvP+u8n/AKEaKNQ/5Cd5/wBd5P8A0I0UAV884pMjp3rctYy+jqqxhomgmMhC5/ehvkyf73TApXQDw/ymFEAP3Bs8zzME7uvmY/h9OaAPEviX/wAjrN/1623/AKISuRr0D4i2OnSeI7i4k1mOO6FpbkWpt5CSRAmBuA28+vvXDPDAvnbbpX2Y2fIR5mev0x70AQUVO8MCmXbcq21VKfIRvJxke2Mnr6UNFCDJtuQ21FZfkPzscZX2xk8+3vQBBRU5ih+fFyDiMMvyH5mOMr+GTz04o8mDLf6UvEQcfIeW4+T+fPTigCCp7M4u4zvhTn7067kHHcYP8qXyYM/8fS/6rf8AcP3v7n/1+lTWUUP2yH/SrcZjLkzxkoGwfkPH056c0AUaKnEUPyZuQMxlm+Q/KwzhfxwOenNCxQkx7rkLuRmb5D8jDOF984HPv7UAQUVOkMDeVuulXcrF/kJ2EZwPfOB09aWOGBvJ33Spvzv+Qny8dPrn2oAr0VPHDA3k77pU3kiTKE+WOx98+1EcULeTvuQm9ysmUJ8scc+/U8D0oAgqe2IDS5aYfumH7rvx3/2fWkjihYQ77gJvk2vlCfLXj5vfqeBzxU9msA5e9kh37o28tCcLgcn/AGTk5HXjpQBY8NWkF94ksLa6j82CSXDoSRuHpkc/lVTUr+XVNSuL6ZUSSdy7LGCFGewznitnwdbxv4osHFwv7uZmkyCAkSqS0hJ4wBnjrxWH5UO0n7SM+ZtxsP3f73/1utYKzrvyS/Fv/JD6EFFTvFCok23IYrJtUbCNy8/N7duOvNJJFCol2XAfZJtTCEb15+b26Dg881uIhoqeSKFfO2XIfY4WPCEeYOfm9ug4PrRJDAvnbLpX2MBHhCPMHc+2PegCCpolJt7g+XE2FHzO+GXkfdGRk9uh4/OnSQwL52y6V9mNnyEeZnr9Me9Srbw+RelJI5RGiFXIZTksM4GR6kcg0AUqKnaKEGTbchtqKy/IfnJxlfbGTz7UGKEF8XIOIwy/IfmY4yv4ZPPTigCCipzDB83+krxEHHyHluMp+HPPTil8mDP/AB9L/qt/3D97+5/9fpQBXoqfyYMj/Sl5iLn5Dw3Pyf8A1+nNAih+XNyBmIsfkPysM4X8cDnpzQBBU4k/0F4/PIzKreTt4OAfmz7Zx+NCxQkx5uQN0bM3yH5WGcL75wOff2qeNYTYrG1+qB23vF5THaQGxzj6D/gXtQBRoqwkMDeTuulTeDv+Qny8dPrn29aI4YG8nfdKm8kSZQny/Q++fagCvRU8cUDeTvuVTe5EmUJ8scc+/fp6UkcULeTvuAm+Ta+UJ8tePm9+p4HpQBDRUyRQsI91wE3SbW+QnYvHze/U8deKVYoSFJuQCZdpGw8L/e/+t14oAgqZ48WcUnkOu53Hmk/K+AvAGOozzz/EKXyocZ+0jPm7MbD93+9/9brUsttAlosiu+TO0ayFTtkUAcjjjHGRnPzDgUAU6KmkihUS7LgPtk2p8hG9efm9ug4PPNEkUK+dsuA+xwqYQjzF5+b26Dg+tAENFTyQwL52y5V9jAR4QjzBzk+34+tLJDAvnbLpX2EeX8hHmZ6/THvQBXoqd4YFM226V9gUp8hG8nGR7Y56+lDxQAy7bkNtRSnyEbycZHtjJ6+lAEFTTH91b/NEcR9EXBHzHhuOT+fGPpSmKEF8XIO2NWX5D8zHGV9sZPPTj3qaeKHyof8ASoDi3DL5cZyW3HKNx94ZPPTAFAFKirHkwZP+lL/qt/3D97+5/wDX6UnkwZH+lL/qt5+Q8N/c/wDr9KAIKKnEUHy5uQMxFz8h4bnC/jgc9OaFihJjzcgbo2ZvkPysM4X3zgc9OfagCCip0igYxbrkLuRi/wAhOwjOB75wOnrSpDA3k7rpU3hi/wAhPlkZwPfPHT1oAr1NckGRcGU/u0/1vX7o6e3p7Yp0cMDeTvulTeT5mUJ8vHT659qlkSCWS2LXr/OFWQyocxAKB2zkdQMdgOlAFKipo4oW8nfcBN7lXyhPlrx83v1PA9KI4oWEW+4CbpNr5QnYvHze/U8DnigCGip1ihIQtchSZNrDYflXj5v58deKPKhxn7SM+bsxsP3f73/1utAEFFTtFCAxFyCRLtA2Hlefm/8ArdeaR4oVEmy4D7ZNqfIRvXn5vboODzzQBDWnYgr4ntVMcUeLtPkifcq/OOAcnI/E1SkihXztlwH2SBUwhHmLz83t0HB9a6bTdK0ga7bNJrlvbSrdr/o6W8rhcPwA3OfzoA9b1D/kJ3n/AF3k/wDQjRRf/wDISu/+u8n/AKEaKAK+T6mjJxjJx1xRRQB5d8S/+R1m/wCvW2/9EJXI113xL/5HWb/r1tv/AEQlcjQAUUUUAFFFFABViy/4/I8CA89JzhOneq9T2YzdxjZC/P3Z22oeO5yP50AQUUUUAFFFFABRRRQAVNbyeWZD58sW6NlzGPvZH3TyOD3/AJGoantpPLaU+fJDuiZcoM7sj7p5HBoA0vDf/H7ef9g67/8ARL1jVveGLaaSTUrlYmMEOn3Alk/hQtE4UE+54FYNYQadaVuy/UfQKKKK3EFFFFABU8Kbra5byA+xVO/djy/mAzjvnp+NQVPDHutrl/IaTYqneGwI/mAyR3z0/GgCCiiigAooooAKKKKACpg/+gunmoMyKfL2fMeDznHQeme444qGpgx+xOvmRY8xTsKfOeDyDjp6jPccccAENFFFABRRRQAUUUUAFTOgFpE/lygl2G8/cbG3gcdRnnnuKhqZwPskRxLku2S33D93p7+v4UAQ0UUUAFFFFABRRRQAVNP/AKq34hH7s/6s8n5j973/AKYqGpph+6t/liGY+qNkn5jy3PB/LjH1oAhooooAKKKKACiiigAqW4fzHU+dJLiNVzIORhQNo5PA6D2A4HSoqmuZPMkU+c82I0Xc4wRhQNvXoOg+lAENFFFABRRRQAUUUUAFalmnl+KbVPJEO28QeUG3bPnHGe9ZdallH5Xii1j8gwbbxB5TNkp844z3oA9z1D/kJ3n/AF3k/wDQjRRqH/ITvP8ArvJ/6EaKAK9FFFAHl3xL/wCR1m/69bb/ANEJXI113xL/AOR1m/69bb/0QlcjQAUUUUAFFFFABU9opa6jAjikyfuSvtU8dzkY/OoKns08y7jUQpNk/wCrd9oPHc5GPzoAgooooAKKKKACiiigAqe1k8tpf35h3RMuQud2R938fWoKsWr7Gl/fiLMTLkru3ZH3fbPrQBpWX/Io6x/182v8paxa2rL/AJFHWP8Ar5tf5S1i1jS+Ofr+iGwooorYQUUUUAFTwx7re4fyJJNig71PEfzAZPHOenbrUFTRR7oJ38mV9ig70Pyx8gZbjoenUcmgCGiiigAooooAKKKKACpgf9Bcbof9Yvylf3nQ8g4+76jPXFQ1OP8AjwfmH/WrwR+86Hp/s+vvigCCiiigAooooAKKKKACpnI+xxDMuQ7ZDfcHC9Pf1/CoamdwbSJPMlJDsdh+4uccjnqcc8dhQBDRRRQAUUUUAFFFFABU0wxFAfLjXKZyjZLfMeWGTg9sccAHHOTDU0y7Yrc+Uiboydyvkv8AMRkjPB7Y46A980AQ0UUUAFFFFABRRRQAVNdP5kiHzjNiNF3FcYwoG38On4VDU10++RD5wlxGg3BduMKBt/DpnvigCGiiigAooooAKKKKACtSyj8rxRax+Q8G27QeVIcsnzjgnA5/CsutOwj8rxNaRiGWHbdoPLlOXX5xweBz+AoA901D/kJ3n/XeT/0I0Uah/wAhO8/67yf+hGigCvRUq207W7XCwuYVOGcDgUfZbj7N9p8l/IzjzMcZoA8p+Jf/ACOs3/Xrbf8AohK5Guu+Jf8AyOs3/Xrbf+iErkaACiiigAooooAKsWSeZeRp5Anyf9WW27uPWq9WLKPzbyNPIafJP7pW2luPWgCvRRRQAUUUUAFFFFABU9q+xpf3qR5iYZdN27joODgn17etQVNbMVMmJIkzGw/eJuzx0HBwT2PH1FAGvZwyr4K1adonET3dsqyFTtJAlyAfWsKt3Unb/hEdCTc2zfcHbnjO5eawqwoXfNJ9W/w0/QbCiiitxBRRRQAVNEga3uG8uZtqghk+6vI+9x07ducVDU8IBt7gkTEhRgp90fMPve3p74oAgooooAKKKKACiiigAqcf8eD8Q/61eSf3nQ9P9n198VBUwH+hOdkP+sX5i37wcHgDP3fU4645oAhooooAKKKKACiiigAqZpM2sUfnSNtdj5RHyrnHI56nHPA6Dr2hqZ5M2cUfnu213PlEfKmQvIOepxzx/CKAIaKKKACiiigAooooAKnnTbFbnyRHujJ3bs+Z8zDPt0xj2qCpp02RW7eS0e+MncWz5nzEbh6dMfhQBDRRRQAUUUUAFFFFABU1y2+RT5qSYjQZRNoGFHHQcjoT3xnnrUNTXB3SLmSN/wB2gzGu0D5RweByOhPc55PWgCGiiigAooooAKKKKACtOxQR+J7VBHLGFu0Gyb76/OODwOfwrMrUsQB4ntQBMALtMCb74+cfe96APc9Q/wCQnef9d5P/AEI0Uah/yE7z/rvJ/wChGigC9b3Fv/Z8YadEdLeaAo2c5c8EcdOeaSeezl0mIEx+fFAIgVLeYWDk4I+7swfrnFZVFAHB/EC70WPxTKl3pN1Pc/ZbfMqXwRT+5THy+WcfnXBRvbjyfMhdtr5kxJjevHA44PXnnr04rqPiX/yOs3/Xrbf+iErkaAJke3Aj3wuxEmXxJjcnHyjjg9eeevTihXtwF3QOSJNzHzMZT+7069ef0qGigCbfb4/1D58zdnzP4P7vTr7/AKUM9uQ+2BwTJuXMmcJz8vTk9OfbpUNFAEzvARJshdcyZTMmdqc/KeOT0546dOamgEE900cdlNLvkzHGkvzBcH5fu8npz7HjninU1pGJbpEMMs+T/q4jhm47cH+VAA72587ZA67mBjzJnYOcg8c9ueKWSS2PnbIHXcR5WZc7PXPHP6VBRQBO8lsfN2QOu4Dy8y52HjOeOc8+mM0jPbnzNsDrlFCZkztbjJPHOeeOMZ745hooAmL2+XxA4zGAv7z7rcZbpyDg8dsjnjlS9t82IH5jCr+86PxlunTrx79eKgooAn8y25/cP/qto/e/x/3unT2/Wp7aS23SfukX/RmU+a+cvjqPlOD6D9RVGrFr96XmAfum/wBcPbt/telAGzqLwDwroOYXI23QP7zq+4Ybp06ce3XmsQPb5TMDnEbBv3n3m5w3TgDI474PPPGtqX/IqaF/vXP/AKEtYdYYf4H6y/8ASmNkyvbgx7oHbCsHxJjc3OCOOMccc5x2zSpJbAxb4HbaD5mJcbzzjHHGOPXOKgorcRPHJbDyfMgdtpPmYlxv9MccfrRG9sPJ8yB22sTLiTG8cYA447889agooAmje3Hk+ZC7bXJkxJjevHA44PXnnr04qa2kt1tnEkdySGBcRyYV1yvytxx0PPPJHHFU6micLb3CmSZdygBUHyvyPvc9O/fnFAAr24CboHJEm5sSYynHy9OD159+lG+3x/qHz5m7/Wfwf3enX3/SoaKAJme3IbbA4Jk3KTJnCf3enJ6c/pQ725EmyF1JkymZM7U5+U8cnpzx06c1DRQBNI9ufO8uF13PmPMmdi88Hjk9OeOnTmlke3PneXA67mBizJnYvOQeOe3PHSoKKAJ5JLY+d5cDruI8rMudg7545/Spma2NncMlmFBdBG7T5eM4ORj+IHnnHHHPrSqcJ/oLv5SHEijzN/zDg8Yz0PrjsPWgAd7YmXZA67lUJmTO08ZJ45zzxxjPfFIz25Mm2BxlFCfvM7W4yTxyDg8dsjnjmGigCYvb/NiB+Ywq/vOj8ZbpyDzx79eKXzLbJ/cP/qgo/e9H/vdOnXj9agooAn8y2z/qH/1W3/W/x/3unT2/WgPbfLmB+Iip/edX5w3Tp049utQUUATB7fKZgc4jIb951fnDdOAOOO+OvPE3nQfZLZH8xwnmb4t2AGIGGBx/u5H+x154p1O75soU84Ntdz5e3lchec984/DHvQAJJbAxb4HbaCJMSY3HnBHHGOPXOKEkth5O+B2258zEuN/pjjjH41BRQBPHJbDyfMgdtrEy4kxvHYDjjv60kb248nzIHba5MuJMb144HHB6889faoaKAJo3gAi8yF22yZkxJjcnHyjjg9eeevTihXtwE3QOxEm5sSY3Jx8vTg9effpUNFAEwe3wMwPnzNxPmfwf3enX3/SppxAkMJFlNGXO8O0uQ6bmHHy+2M+qn8KdSzJsjgbyZE3pnc54f5iMrx04x35B+gAFd7ciTZC6kyZTMmdqc/KeOT059unNEjwETeXC67pMx5kzsXng8cnpzx06c1DRQBNI9ufO8uB13ODFmTOxecg8cnpzx0pZJLY+d5cDruI8rMudg7g8c/pUFFAE7yWx87ZA67seXmXOz1zxzn8KHe2Jl2QOu5VEeZM7TxknjnPPHGM+1QUUATM9uTJtgcZRQmZM7W4yTxyDg8dsjk45mupLcyf6tWzbxqvlNgK+1ck/KMnrkep6nvTqa6/1icwn92n+qHH3R1/2vX3zQAvmW3P7h/8AVBR+86PxlunTrx79aPMts/8AHu/+q2/63+P+906e361BRQBP5lt8uYH4iKn951fnDdOnTj260ge3+TMDnEZVv3nV+cN04A449uvPENFAEyvbgx7oHOEYPiTG5ucEccAccc5x1GeFSS2Hlb4HbarCTEmNx5wRxxjjjnOPeoKKAJ0kth5O+3dtufMxLjf6Y44x+NdDpN5oi6zZpPpd/Pc/alzPJehCx38ErsOD0zzXL1p2LiTxPauJJZA12h3zffb5xyeTz+NAHul//wAhK7/67yf+hGijUP8AkJ3n/XeT/wBCNFAFeiiigDy74l/8jrN/1623/ohK5Guu+Jf/ACOs3/Xrbf8AohK5GgAooooAKKKKACprRBJdRqY5pAT9yH7547cH+VQ1PZgG7jBExGekP3+nagCCiiigAooooAKKKKACp7X70vEB/dN/rjjt2/2vSoKnthlpfkhb903+tbGOOo5GW9B+lAGrqX/IqaF/vXP/AKEtYdbusKIfDmgQM6mUxzTlRn5VZ8Ln3+Q1hVhh/gfrL/0pje4UUUVuIKKKKACpopNsE6edKm9QNij5ZOQcNz0HXoeRUNTwybbe4Tz3j3qBsUZEnzA4PPGOvfpQBBRRRQAUUUUAFFFFABU4T/QHk8kHEqr5u7pwflx74zn2qCpxH/oLyeQxxKq+du4GQflx74z+FAEFFFFABRRRQAUUUUAFTO2bOJPNQ4dz5YTDLkLyTjkHHAycYPTPMNTOT9kiHmRHDt8gXDj7vJOOQe3Jxg9M8gENFFFABRRRQAUUUUAFTTKFigIjlXcmSX6N8xGV46du/INQ1NMAIrfAlGY+d/Q/Mfu+39c0AQ0UUUAFFFFABRRRQAVNdf6xOIR+7T/VHI+6Ov8AtevvmoamuRiRfliX92nETZH3RyeTz6j1z06UAQ0UUUAFFFFABRRRQAVp2Enm+JrSTzpJt12h82UYZ/nHJ5PP4msytSyk83xRayee8+68Q+a4wz/OOSMnn8aAPc9Q/wCQnef9d5P/AEI0Uah/yE7z/rvJ/wChGigCvRRRQB5d8S/+R1m/69bb/wBEJXI113xL/wCR1m/69bb/ANEJXI0AFFFFABRRRQAVPZkLdxktMoz1h+/07VBU1o4juo3Ms0QB+/CPnHHbkfzoAhooooAKKKKACiiigAqa2Us0mI4pMRsf3j7ccdRyMkdhz9DUNT2qb2l/cpLiJjhn27ePvDkZI9P0oA09f/49dD/7Bq/+jZKxa2tf/wCPXQ/+wav/AKNkrFrDD/w/v/Nje4UUUVuIKKKKACp4ZNttcr55j3qo2Bc+Z8wOM9sdfwqCp4X221yvnBNyqNhXPmfMOM9sdfwoAgooooAKKKKACiiigAqYR5snk8iQ4kVfOz8oyD8uMdTjPXsahqYRg2bSeTKSJFXzQfkGQflPHU4yOex4oAhooooAKKKKACiiigAqZz/ocQ3Qn53+VV+ccL9445Hpz69Khqd/+PKHmH77/dHz9F+97en40AQUUUUAFFFFABRRRQAVNMQYrcBpTiPkP0HzH7vt/XNQ1NM4aKACSV9qYIfovzE4XnpzntyTQBDRRRQAUUUUAFFFFABU1ypWRQY40/docRtuB+Ucnk8nqR2OeB0qGprldkijyljzGhwrbs5Uc9TyeuO2e1AENFFFABRRRQAUUUUAFalm/m+KbWTzzPuvEPmldpf5xzjtWXWpZv5nim1czCbdeIfMC7Q/zjnHagD3PUP+Qnef9d5P/QjRRqH/ACE7z/rvJ/6EaKAFSxne1NwoXZgsAWG5lHUgdwO5qMWszWb3YT9wjiNnz/EQSB+Qq9Be262KRyNIsiQywYCZBEhzuznt6d6Q6jAdDaw+zkSBlKSBzhsFiSR68gUAeOfEv/kdZv8Ar1tv/RCVyNegfEXVIovElxaHSNPkc2luPtLrJ5ozAnPD7cjtx2rhvtC5P+jQ8xCPoeD/AHuv3v056UAQUVP9oXP/AB7Q/wCq8vo3X+91+9+ntQLhfl/0aHiIx9DyTn5uv3ufpwOKAIKKmE6gp/o8J2xlDkH5ic/Meeozx24HFCzqpjzbwtsRlOQfmznk89RnjHoKAIamtJPKukfz5YMH/WRDLLx25H86VLhU8rNtC3lqwO4H5855PPUZ4xjoKnsLxbe7tnKpF5RbMiqxLZ9QGH6YoAo0VPHcKnk5toX8tiTuB/eZ7Nz0+mKSOdU8nNvC/luWO4H9504bnpx2x1NAENFTRzqgizBE/lybzuB+ccfKeenHbB5PNCzqoQG3hbbJvJIPzDj5Tz04+vJ5oAhoqYXCgAfZ4TiTzM4PI/u9fu/r70G4Uhh9nhGZN+QDwP7vX7v6+9AENWLVPMaX9wJcRM2C23bgfe98elNedXEgFvEu+TeNoPyjn5Rz05+vA5qeF1nN0BYI+4NKPLJHkgA9OT8oz0PoOaALuv8A/Hrof/YNX/0bJWLXQeI51e10nFvEnmWCMNoP7v8Aey8Lz05756CsaS4V/OxbQp5hBG0H93jsvPf3zWGH/h/f+bG9yCip3uFfzsW0KeZjG0N8mP7vPf3zQ9wrebi2hXeqqMA/JjHI56nHOc9TW4iCipmnVjJ/o8I3oqDAPy4x8w56nHP1P4BnU7v9HhG6MIMA/KRj5hz1OPpyeKAIanhfbb3C+aiblA2MmS/zDgHHHr1HSj7QvP8Ao0PMQj6Hg8fN1+9x9OelTRXSiC4HlWi5gEe10JZjkfMp5w3fOQMZ+lAFKip/tC8f6NDxEY+h5PPzdfvc/TjpSCdRs/0eE7YyhyD8xOfmPPUZ47cDigCGiplnVTH/AKPC2xGQ5B+bOfmPPUZ4+gpUuFUxZtoW8tWU7gfnznk89RnjGOgoAgoqdLhU8nNtC/l5zuDfPn+9z29sUR3Cp5ObaF/LJJ3A/vM9m57e2KAIKmCD7E7+XLkSKN4+4ODweOvpz2NEc6p5ObeF/LcsdwP7zpw3PTjtjqamilRLNSbfeY5wxJB2OMfdbn24xjgt+ABToqZJ1URg28TbJN53A/MOPlPPTj68nmgXCgKPs8JxJvyQeR/d6/d/X3oAhoqY3CkEfZ4RmTzM4PA/u9fu/r70NOrBwLeFd0m8EA/KOflHPTn68DmgCGippJ1cS4giTzJN42g/IOflHPTnvk8DmiSdX87FvCnmOGG0H9314Xnpz3z0FAENTv8A8eUPEP335U/P0X73t6fjRJcK/nYtoU8xgRtB/d47Lz0+ualmnVrUkWlonmucFCd6Y28Y3cD6jnJ/AAp0VO9wr+bi2hXzFUDaD8mMcjnqcc5z1NI06t5mLeFd6KowD8uMcjnqcc59TQBDRUxnUl/9HhG6MIMA/KRj5hz1OOe3J4pTcL83+jQ8xCPoeCMfN1+9x9OTxQBBRU/2hc/8e0P+q8vo3X+91+9+ntR9oXI/0aHiIx9Dyf73X736cdKAIKlmffHAvnSSbExtccR/MTheenOe3JP1Ki4Ubf8AR4TtjMfQ8k5+Y8/eGfpwOKmku1MdoMJL5UDRlXUgKSzn15I3Z4wM9jzkAp0VOlwqmLNtC2xWU5B+fOeTz1GeMY6ChLhU8nNtC3lgg7gfnz/e57dsYoAgoqeO4VPJzbQv5ZJO4H95n+9z29sUR3Cp5ObeF/LYsdwP7zpw3PTjtjqaAIKKmjnVPJzBE/lvvO4H5xx8rc9OO2DyaEnVBGDbxNsk3ncD8w4+U89OO3PJ5oAhqe6TZIg8kRZjQ7d27OVB3fj1x2zSLOoCj7PCdsm/JB5H908/d/X3qe6kWN1X7BHDnZLgliSCoPr909cdeetAFKipmnVg4FvCu6TeCAflHPyjnpz9eOtEk6uJcQRJvk3jaD8g5+Uc9Oe+TwOaAIaKmknV/OxbxJ5jhxtB+Tr8q89Oe+egpZLhX87FtCnmMGG0H93jPC89PrnpQBBRU8lwr+di2hTzMY2hv3eP7vPf3zQ9wr+bi2hXzAANoPyYxyOe+Oc560AQVqWTb/FFqxlSXN4h8xE2q3zjkDAwPwFUWuFYyYt4V3oqjAPyYxyOepxzn1NdLpuuwLrdnC2iaLOwuI1NwkUq7zuHzABwB6/dH0oA9c1D/kJ3n/XeT/0I0UX/APyErv8A67yf+hGigCvRRRQB5d8S/wDkdZv+vW2/9EJXI113xL/5HWb/AK9bb/0QlcjQAUUUUAFFFFABViyk8q8jfzzBg/60LuK8elV6sWT+XeRv54gwf9YU3BePSgCvRRRQAUUUUAFFFFABU9tH5jSjyJJtsTNhDjbgfePB4FQVNbxiQyZhll2xs2Iz93A+8eDwO/8AMUAamv8A/Hrof/YNX/0bJWLW1r//AB66H/2DV/8ARslYtYYf+H9/5sb3CiiitxBRRRQAVPCf9HuPmhGVHDrlj8w+6ccH16cZqCp4f+Pa55h+6v3x833h9z39fbNAEFFFFABRRRQAUUUUAFTAj7E43TZ8xTtH3Oh6+/p7ZqGpg4+xunmSgmRT5YHyHg8nnrzxx3NAENFFFABRRRQAUUUUAFTOuLSJvLjGXYbw+Wb7vBGeAOxwM5PXHENTOuLOF/KQZdx5gbJbAXgjPGM9cc5PXHABDRRRQAUUUUAFFFFABU8774rdfOMmyMjaVx5fzE7ffrn8agqad90VuPOEm2MjaFxs+YnHv1zn3oAhooooAKKKKACiiigAqa5j8uRR5Lw5jRtrnJOVB3dBweo9j3qGpbhPLdQIZIsxq2JDycqDkcDg9R7EcnrQBFRRRQAUUUUAFFFFABWpZHPii1O6Fv8ATE+aFdqH5x90YGB+FZdaln/yNNrkwn/TE/1A+T74+77UAe56h/yE7z/rvJ/6EaKNQ/5Cd5/13k/9CNFAFeiiigDy74l/8jrN/wBett/6ISuRrrviX/yOs3/Xrbf+iErkaACiiigAooooAKns32XcbCVIsH78ib1HHcYOfyqCp7QlbqMiSKPB+9Mm5Rx3GDn8qAIKKKKACiiigAooooAKmtkDmTMcz4jY/uu3HU8H5R3qGp7YAtLkTH903+q+nf8A2fWgDY8U28tmdJtLhPLuIdPVJYyQSjeZIcHHQ4I496wK2PFfHi7V/wDr7l/9CNY9YYa/sYt9dfv1G9wooorcQUUUUAFTw/8AHtc8Qn5V5c/MPmH3ff19s1BU8I/0e4OyE4Ucu2GX5h90Z5PrweM0AQUUUUAFFFFABRRRQAVMJMWbx+dIMyK3lAfIcA/Meeozjp3PNQ1MJMWLx+e4zIreTj5TgH5s56jOOnc0AQ0UUUAFFFFABRRRQAVO6YsoX8nbudx5u772AvGO2M/r7VBUzpiyhk8hl3O483dw+AvGPbP/AI9QBDRRRQAUUUUAFFFFABU0zborceaj7Y8bVTBT5jwTgZPfPPBA7YENTTEmKAb4mwmMIuCvzHhuBk9888Ec8YABDRRRQAUUUUAFFFFABU1woSRQI5UzGhxL1OVHI46HqPbFQ1NcgCRcCUfu0/1vX7o6e3p7YoAhooooAKKKKACiiigArUsv+RoteIR/picQHKffH3fasutSyGPE9qNkKf6WnywtuQfOPunJyPxNAHueof8AITvP+u8n/oRoo1D/AJCd5/13k/8AQjRQBXoq/Hp6yWImMpErRySou35dqHByc9fTioktYZLGWZZm82JQzqUwvJxgHPLd+nQH0oA8k+Jf/I6zf9ett/6ISuRrsPiUjnxpMQrEfZbbnH/TBK5DB9DQAlFGD6dKXB54PHWgBKKXB54PHWjB9Dx1oASp7M4u4zuhXnrOu5Bx3GD/ACqHB9DxU9kD9sj/ANSMf89x8nTvQBXopcH0NGD6H1oASilwfQ+tGD6H1oASilwfQ+tGD6GgBKntiA0uWmXMbD91346H/Z9ahwfQ81NbNsMmZJo90bAeUPvcdDyPlPegDR8Wf8jdq/8A19yf+hGsetnxWCfF2rYB5u5cf99GsfB44PPSscP/AAYei/Ib3EopcH0PNGD6GthCUUuD6H0owfQ+lACVNEpNvcHy42wo+Znwycj7oyMnt0PH51Fg+h9KnijJt7lvJV9ijLs2CnzDoM856d6AK9FLg+h460YPPB460AJRS4PPB460YPoeKAEopcH0PFGD6GgBKnEn+gPH55GZVbydvBwD82fbOMe9Q4PofWpwx+wvH5oGZFbytnJ4PzZx0GcY96AK9FLg+h9aMH0PrQAlFLg+howfQ80AJRS4PoeaMHjg89KAEqZ48WkUnkuu52Hmk/K+NvAGOozzz3FRYPHB56VK0eLWKQQyje7L5h+4+NvA46jPPJ6jp3AIaKMH060uD6H0oASilwfQ+lGD6H0oASilwfQ0mD6dOtABU0x/dW/zQn92eI1wR8x+9xyfz4xUWDzweOtTTg+Vb58riP8A5ZjkfM33/f8ApigCCilwfQ8UYPoeKAEopcH0NGD6H1oASilwfQ+tGD6H1oASprkgyLhpW/doP3vX7o6e3p7YqLB9D61LcNvkUh5ZP3ajMg5GFAwOTwOg9gOlAENFLg+howfQ80AJRS4PoeelGDxweelACUUuDxweelJg+nWgArTsVK+J7VTHHHi7T5In3KvzjgHJyPxNZuD6H0rVsYXTxPar9nEW28QbEJZV+ccA5OfzoA9x1D/kJ3n/AF3k/wDQjRRf/wDITvP+u8n/AKEaKAJYtRMVqsJgRyqtGrliCEY5YY9+ee1NkvI5LBLb7IqlMkSLI3JJ6lehOOM1UooA8++Iuu6vbeKJrKDVL2K0+y248hJ2CYMKZ+UHFcM1zcOHDTyMHk8xgWPzPz8x9+Tz711PxL/5HWb/AK9bb/0QlcjQBK9zPIJA80jea/mSbmJ3tz8x9Tyefc0PdXEnm+ZPI3nMHk3OTvYZ5PqeTz7moqKAJnu7iTzfMnlbziGk3OTvI6E+vWh7u5k83fcSt5uPMy5O/HTPrioaKAJmu7h/M3zyt5oCyZcneBjAPrjA/Kp7S5uHvPmmVzIoRxcSHYygDAbnoMDH0FUqnsxm7jGyF+fuzNtQ8dzkfzoAabq4O7M8h3oI2+c8oMYU+wwOPYUv2q4O7M8vzRiI/OeUGML9OBx7VDRQBN9ruf8An4l/1flffP3P7v09qPtdzx/pEvEflD5zwn936cnioaKAJRdXA24nk+WMxL854Q5yv0OTx7mgXVwpQrPINiGNMOflU5yB6A7jx7moqKAJlurhPL2zyr5alUw5G0HOQPQHJ/M1La3s8J4vbmDy4nWPymPG7qvUYByc/XoaqVPbSeW0v794d0TLlBndkfdPPQ0Aa/ii6uIvF2peXPKnk3kpj2uRsJY5x6ZrHS6uI/K8ueVfJYvHtcjYxxkj0PA/KtLxZ/yN2r/9fcn/AKEax6xw/wDBh6L8hvclS5nj8ry5pF8p/Mj2sRsbjkeh4HPsKEuZ4xGEmkURv5iYYja/HzD0PA59hUVFbCJRdXChQs8gCyeaoDnh/wC99eBzR9quMY8+THmebjefv/3vr71FRQBK11cOGDTyEPJ5jAueX/vH35PPvU6SzzW16z+ZNuKyu7Sn5W3Y3EZ+Y8kf8CNU6nhj3W1y/kNJsUHeGwI/mAyR3z0/GgBr3M8nm+ZPI3mvvk3MTvbnk+p5PPuaV7q4k83zJ5W85g0m5yd5HQn1PJ/OoaKAJnu7mTzd9xK3nYMm5yd+OmfXFD3dzJ5m+4lbzQBJlyd4GMZ9cYH5VDRQBM11cP5m6eVvMUI+XPzKMYB9QMD8hSG5uGLkzyHegjbLH5lGMKfYbRx7CoqKAJvtVwd2Z5fmjER+c8oMYX6cDj2FTC9ufsTr9sbnbGYzncUAIxux90dNue4444p1MCfsTr5kWPMU7Cvzng8g46eoz3HHoAH2u54/0iXiPyh85+5/d+ntQLq4G3E8vyxmIfOeEOcr9OTx7moaKAJRc3ClCJ5BsQxrhj8qnOVHsdx49zSrdXCeXtnlXy1KJhz8qnOQPQHJ/M1DRQBMl3cx+XsuJV8oER4cjYD1x6ZyfzoS7uY/K2XEq+SSY9rkbM9cemahooAmS6uI/K8ueVfJYtHtcjYT1I9DwPyqUTzxWlq0b3KGOV3jfeQit8vKejcDJ/3aqVM+PscRxLne+S33P4env6/hQAiXM8YjCTSL5b+YmGI2tx8w9DwOfYULdXChQs8gCSeYuHPD/wB4e/A59qiooAm+1XGMefLjzPNxvP3/AO99fekN1cMGDTyENJ5rAueX/vfXk81FRQBK9zPIJA80jeY/mPlidz8/MfU8nn3ND3M8nm+ZNI3mv5km5id7c8n1PJ59zUVFAEz3VxJ5vmTyt5zBpNzk7yM4J9Tyfzqa6urmSJPMnDecmZCshJkwzYMnP3h2z2xVOpph+6t/kiXMZ5RslvmPLc8H244A+pAB7u5k83fcSt5oAky5O/HTPrjAoa6uH8zdPK3mKFfLk7gMYB9QMD8hUNFAEpubhi5aeQ70Eb5Y/MoxgH1A2jj2FKbq4O7M8vzRiJvnPKDGF+gwOPYVDRQBN9ruef8ASJeY/KPznlP7v04HFH2u5/5+Jf8AV+V98/c/u/T2qGigCb7VcDbieX5YzEPnPCHOV+nJ496lnvZ2kiYXtxJ5cAhVnYgou3BQcn5Rkj3HYZxVSprl/MkU+c82I0Xc4wRhQNv0HQfSgBFurhPL2zyDy1KJhz8qnOQPQHJ/M0q3dynl7J5V8oFY8ORsBzkD0zk/nUNFAEyXdzH5Wy4lXys+XtcjZnrj0zQl1cR+VsnlXySWj2uRsJ6kenSoaKAJUuriPyvLnkXyXLx7WI2NxyPQ8Dn2FCXM8YjCTSL5T+ZHtYja3HzD0PA59hUVFAEq3NwgQLPIoSTzFw5+V+PmHvwOfauh0zXtbstftbKDUb+0t1u1X7LHdvsTL5I688k/WuZrUso/K8UWsfkNBtvEHlM2SnzjgmgD3O/41K7/AOu8n/oRoo1D/kJ3n/XeT/0I0UAV6KKKAPLviX/yOs3/AF623/ohK5Guu+Jf/I6zf9ett/6ISuRoAKKKKACiiigAqe0UvdRqIopcn7kr7VPHc5GPzqCp7NPMu40EKTZP+rd9oPHrkY/OgCCiiigAooooAKKKKACp7WTy2l/fmHdEy5C53ZH3fx9agqe1fY0v74RZiZclN27I+704z60AaPiz/kbtX/6+5P8A0I1j1seLP+Ru1f8A6+5P/QjWPWOH/gw9F+Q3uFFFFbCCiiigAqaKPdb3D+RJJsUHep4j+YDJ45z07cmoamijDQTv5Mr7FB3oflTkDLcdD06jkigCGiiigAooooAKKKKACpwf9Bcbof8AWL8pX950PIOPu+vPXFQVOP8Ajwf/AFP+tXr/AKzoen+z6++KAIKKKKACiiigAooooAKmcj7JEN0pIdsq33B93p7+v4VDUzuDaRJ5kpKux2H7i5xyOepxzx2HXsAQ0UUUAFFFFABRRRQAVNMuIoD5ca5TOUfJb5jywycHtjjgA45yYammTbFbnylTdGTuDZL/ADEZIzwe2OOme9AENFFFABRRRQAUUUUAFTXT+ZIh84zYjRdxXGMKBt/Dp+FQ1NdPvkQ+cJcRoMhduMKBj8Ome+KAIaKKKACiiigAooooAK1LGPyvE9rH5EkG27QeVIcsnzjgnA5/CsutOwQReJrSMQyw7btB5cp+dfnHB4HP4CgD3TUP+Qnef9d5P/QjRRqH/ITvP+u8n/oRooAr0UUUAeXfEv8A5HWb/r1tv/RCVyNdd8S/+R1m/wCvW2/9EJXI0AFFFFABRRRQAVYso/NvI08jz8k/u923dx61Xqeyj827jT7O1xk/6pWwW49aAIKKKKACiiigAooooAKntn2NL+9jjzEw+dN27joODgn17eoqCtbw0iS+IrGKTyTHJMiOkybg4LAFRweT+H1FTOXLFy7AO8V/8jdq/wD19yf+hGserurzy3WtX1xM26WS4dmOAMksewqlUUYuNKKfRIb3CiiitRBRRRQAVNEoa3uGMczFVBDJ91eR97jp+XOKhqeHH2e4yJs7RjZ937w+97envigCCiiigAooooAKKKKACpx/x4vxD/rV5J/edD0H93198VBUwH+hOdkP+sX5i3zjg8AZ6epx1xzQBDRRRQAUUUUAFFFFABUzSZtIo/Okba7HyiPlXOORz1OOeB0HXtDUzyZs4o/PdtrufKI+VMheQfU4/wDHRQBDRRRQAUUUUAFFFFABU86bYrc+T5e+Mnduz5nzMM+3TGPaoKmnTZFbt5DR74ydxbPmfMRuHp0x+FAENFFFABRRRQAUUUUAFTXLbpFPmpJiNBlE2gYUcdByOhPcjOT1qGprgkyLl4n/AHaDMa7QPlHB4HI6E9znk9aAIaKKKACiiigAooooAK07FQnie1URyxgXaDZN98fOOG4HP4VmVqWOB4ntcCYD7WmBN9/74+970Ae56h/yE7z/AK7yf+hGijUP+Qnef9d5P/QjRQBXrSaxgGn7/n84Wwud275cF9m3GPxzn8Kzasm+nNp9mymzbs3bRu25ztz6Z5xQB5x4/wDDutah4skubLSb65t2trYLLDAzKcQoDggeoxXMf8Ih4l/6AGp/+Ar/AOFey5PqaXJ9T+dZNVekl9z/AMx6HjP/AAiHiX/oAan/AOAr/wCFH/CIeJf+gBqf/gK/+FezZPqfzoyfU/nS5a38y+5/5hoeM/8ACIeJf+gBqf8A4Cv/AIUf8Ih4l/6AGp/+Ar/4V7Nk+p/OjJ9T+dHLW/mX3P8AzDQ8Z/4RDxL/ANADU/8AwFf/AArW8MeDtZbxHZjUPD98bUs3medauE+6cZyPXFeoZPqfzrQexiGnmTdJ5wt1uCcjaQz7duPXvnP4Uctb+Zfc/wDMNDwn/hEPEv8A0ANT/wDAV/8ACj/hEPEv/QA1P/wFf/CveL2zt4bGOW3ZpG2xmVxOGCFlzgqBxzkdT0rNyfU/nRy1v5l9z/zDQ8Z/4RDxL/0ANT/8BX/wo/4RDxL/ANADU/8AwFf/AAr2bJ9T+dGT6n86OWt/Mvuf+YaHjP8AwiHiX/oAan/4Cv8A4Uf8Ih4l/wCgBqf/AICv/hXs2T6n86Mn1P50ctb+Zfc/8w0PGf8AhEPEv/QA1P8A8BX/AMK6PwR4T1ePxEst/oV6sccbOjTWzAK4IKkEjrXoeT6n86tWcEVytyJJJQ8cDyxhQMEqM8ntSlCrKLjzLXyf+YXR4ze+DfE739wy+HtVKmViCLR+Rk+1Qf8ACF+Kf+hc1X/wDk/wr2PJ9T+dGT6n862SsrCPHP8AhC/FP/Quar/4Byf4Uf8ACF+Kf+hc1X/wDk/wr2PJ9T+dGT6n86YHjn/CF+Kf+hc1X/wDk/wo/wCEL8U/9C5qv/gHJ/hXseT6n86Mn1P50AeOf8IX4p/6FzVf/AOT/CtfS/BniAaHrgm8PakJjBF5Ia1cEnzUzgY54zXpmT6mr8tpbrqNlCk0v2edYnZ5MKQGPPsMUAeG/wDCF+Kf+hc1X/wDk/wo/wCEL8U/9C5qv/gHJ/hXt+o28dvInkbvKcHa/nCQPg4OCAOlU8n1P50AeOf8IX4p/wChc1X/AMA5P8KP+EL8U/8AQuar/wCAcn+Fex5PqfzoyfU/nQB45/whfin/AKFzVf8AwDk/wo/4QvxT/wBC5qv/AIByf4V7Hk+p/OjJ9T+dAHjn/CF+Kf8AoXNV/wDAOT/CtWPwTr3/AAilyzeHNQ+2i+hCE2j7/L2SbscZxnbn8K9OyfU/nVuGGCWxmkYzLJGufMLDZnPCY6knnnP4UAeI/wDCF+Kf+hc1X/wDk/wo/wCEL8U/9C5qv/gHJ/hXseT6n86Mn1P50AeOf8IX4p/6FzVf/AOT/Cj/AIQvxT/0Lmq/+Acn+Fex5PqfzoyfU/nQB45/whfin/oXNV/8A5P8KP8AhC/FP/Quar/4Byf4V7Hk+p/OjJ9T+dAHjn/CF+Kf+hc1X/wDk/wrWuvB3iI+FNLjXw9qPnrd3JkAtH3BSsO3PGccNj8a9QhKecvm+YUzysZ+Y+wrRjsrT+0ZopZikaQeYQ8wUq/HyFsEZGT27UAeEf8ACF+Kf+hc1X/wDk/wo/4QvxT/ANC5qv8A4Byf4V7TdxmC7ki2sgU8Kz7jjGRyMZ9ahyfU/nQB45/whfin/oXNV/8AAOT/AAo/4QvxT/0Lmq/+Acn+Fex5PqfzoyfU/nQB45/whfin/oXNV/8AAOT/AAo/4QvxT/0Lmq/+Acn+Fex5PqfzoyfU/nQB45/whfin/oXNV/8AAOT/AArT1TwTrw0/Rjb+G9R802bG42Wj53+dLjdx127fwxXqGT6n86u3FvCunxXUJlXdJs+dgd/HLcfd5GMGgDw//hC/FP8A0Lmq/wDgHJ/hR/whfin/AKFzVf8AwDk/wr2PJ9T+dGT6n86APHP+EL8U/wDQuar/AOAcn+FH/CF+Kf8AoXNV/wDAOT/CvY8n1P50ZPqfzoA8c/4QvxT/ANC5qv8A4Byf4Uf8IX4p/wChc1X/AMA5P8K9jyfU/nRk+p/OgDxz/hC/FP8A0Lmq/wDgHJ/hWnrvgnXlvbcWfhzURH9iti3l2j48zyU35wOu7OffNet6dDFc3SwyiVmcgLscLj1JJ9PTvVmysLeaCbc7STrOYooxMIy4weQCDk57cUAeEf8ACF+Kf+hc1X/wDk/wo/4QvxT/ANC5qv8A4Byf4V7Fk+ppcn1P50AeOf8ACF+Kf+hc1X/wDk/wo/4QvxT/ANC5qv8A4Byf4V7Hk+p/OjJ9T+dAHjn/AAhfin/oXNV/8A5P8KP+EL8U/wDQuar/AOAcn+Fex5PqfzoyfU/nQB45/wAIX4p/6FzVf/AOT/Cuh1HwfryfEGaS30DUfsi6juR1tnKbN/XOOmO9eiRRyTzJDEC0jsFUZ71a1S1jsb9reCVpYgiMrsMbsqD0/GgCK/IOpXZByDPJ/wChGiq9FABRRRQAUUUUAFFFFABRRRQAVbGozC3EBSJlChCWT5igOQpPoDzRRQAxryRrUW+yJV43MiYZ8dNx74zVeiigAooooAKKKKACpIZ3gMhTHzxtG2R/CRg0UUAR0UUUAFFFFABRRRQAVO11I5jLBCY0WNCV6BelFFABc3T3OwMkcaRghEjXCjJyfzNQUUUAFFFFABRRRQAVZ+2ubFbRoYCi52uU+cZOSc56/hRRQBWooooAKKKKACiiigCa1uXtLlZ41RmXOA65HIxT/tn77zBa2oGCDGI/lIPqM+1FFAEU88lzO80pBdjzgYHoB+VR0UUAFFFFABRRRQAVYmvJJ4VhKRIgbe3lpt3tjG4++KKKAK9FFFABRRRQAUUUUAT2109q5ZY4nOQR5ibtpHII9CKki1CaGVpVSEyE7g7Jkq394H17+ntRRQBUooooAKKKKACiiigB0cjxSLJG7I6nKspwR9DUt3eT30wmuZDJIEVMk9gMCiigCCiiigD/2Q==)
Рисунок 3.8 – Переходной процесс при набросе нагрузки.
4 РАЗРАБОТКА МАТЕМАТИЧЕСКОЙ МОДЕЛИ
ПОДСИСТЕМЫ ИДЕНТИФИКАЦИИ
Изменение момента инерции нагрузки влияет на динамическую ошибку системы. Сымитировать скачкообразное изменение момента инерции нагрузки можно с помощью модели в MatLABe (см. рис 4.1):
![](data:image/jpeg;base64,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Рисунок 4.1 – Имитация изменения момента инерции нагрузки.
Подсистема идентификации момента инерции приведена на рис.4.2.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdAAAAAMBAMAAAAg+PHTAAAAAXNSR0ICQMB9xQAAAB5QTFRFAAAAAAAAERAREhAQFRYXAxg4AgEuOBgDPiQE////IPKDqgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAANklEQVRIx2NgGJSAcyYxYHC6fdSjox4d9eioR0c9OurRUY+OepQOHm0UFNUcER6dXOZJfowCAFpYB8soEubjAAAAAElFTkSuQmCC)
Рисунок 4.2 – подсистема идентификации.
Выведем зависимость i=f(W,Jн):
1. Найдём Jн:
;
;
. (4.1)2. Но
, отсюда
. (4.2)2. Подставим значение Jн в формулу (4.1):
3.
(4.3)
(4.4)В формулу (4.4) подставим численные значения:
,
,
.
; (4.5)Реализуем данную функцию в MatLABe (см. рис. 4.3):
![](data:image/png;base64,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)
Рисунок 4.3 – Реализация подсистемы идентификации в MatLABe
Подсистема идентификации (ПИ) включается в систему управления следующим образом (см. рис. 4.4):
![](data:image/jpeg;base64,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)
Рисунок 4.4 – Подключение ПИ в систему управления.
Исследуем переходные процессы в системах с ПИ и без нее при параметре момента инерции Jн =10Jд (см. рис. 4.5 и 4.6):
![](data:image/jpeg;base64,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)
Рисунок 4.5 Переходные процессы без ПИ
![](data:image/jpeg;base64,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)
Рисунок 4.6 – Переходные процессы в системах с ПИ
Как видно из рисунка, уменьшилась колебательность системы, а также уменьшилась просадка скорости при изменении момента инерции нагрузки.
Действия ПИ аналогичны при моменте инерции нагрузки, равному 5Jд и Jд (см. рис. 4.7, 4.8):
![](data:image/jpeg;base64,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)
Рисунок 4.7 Переходные процессы при Jн =Jд без ПИ
![](data:image/jpeg;base64,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)
Рисунок 4.8 – переходные процессы при и Jн=Jд с ПИ
Предпримем попытку идентифицировать полученную систему, как апериодическое звено II порядка
. При идентификации целесообразно использовать обратную частотную характеристику
, точнее квадрат её модуля
. Произведём замену
,
, а коэффициенты
,
,
. В результате получим уравнение параболы
.Произведём ряд опытов с подачей в систему синусоидального воздействия единичной амплитуды и различной частоты.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbsAAAFCCAYAAABo9HPPAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAABE2SURBVHja7d29bhtnvsDhl1LrRdqV7VG3vcXX5UHOFlp6AinuFJgi2OzBEQJCYGEpYKG1yXTCAdxvksIfVaI7WNkXkOwlBLsXYPsWlPDw5Yc9piXbyUoWOXwCPDDHIZDwj9H89M4MydB/+58TACiTMF26r7/+OgBAmYTp+hkKAKWLnSEAIHYAIHYAIHYAIHYAIHYAIHYAIHYAiB0AiF05X3wIy3YCALEre+x8FiiA2IkdAGIndgCI3UQ/hEq6RjboS+Ws5xyFsDR6zlBF7ACYq9i18uzuIC6/ZLXdvTPCU2nE8Gjw50klZC/XWwdR7ACYq9glvUbcPCt2vWbciM3eRnrcTmG8nj/bOTy8InYAlCZ2Rd1ucyWGeNzsdlfEDoBSxq7TaV6NsXH/wl+82AGI3WXELl27a9dqX1z0qk7sAMTuUmKXQtetx8+zvJVuZqlc9B2ZYgcgducqvfXgXn3tdlb78qsQjpYKwUlvN6hM/n2o3nmS3npw0FqPeb37qdgBMDexG7/14GQobj9Mfze6ESX7Md/r3Xjj3w9Vf3aDCgBzFbuZfPFiByB2YgeA2IkdAGIndgCIndgBIHZiB4DYiR0AYid2AGIndnYEALETOwDETuwAEDuxA0DsxA4AsRM7AMRO7AAQO7EDEDuxA0DsxA4AsRM7AMRO7AAQO7EDQOzEDgCxEzsAxE7sAMRO7AAQO7EDQOzEDgCxEzsAxE7sABC7D9MPoTKI2fKgZxWxAxC7Umrl2d1BzH7Jart7YgcgdqXVa8RNsQNg4WI3OrU5slQJ/aOtsDxL7JQAYncesTuZ6P73YGX353AyS0QQQOz+49hNhW/2TmOKIIDYlT52Igggdh8qvfXgXn3tdlb78qsQjpbmPnYiCCB208ZvPRhdn4vbD0sbOxEEWNzYfdCLX8S3HnxgBP1wAGIndqWPoPABYid2CxU/qz5A7MTOqg9A7MRuUVZ9ZgOIndgtVPjEDxA7sSt9+Kz6ALETu4Ve9ZkNIHZiJ3wAYid2ZQ2f+AFiJ3alD59VHyB2YrfQqz6zAcRO7BYqfOIHiJ3YlT584geIndgtfPzMBxA7sSt9/Kz6ALETO6s+QOzEDqs+QOzEjpKu+sQPxE7sWLj4mQ+IndhR+vhZ9YHYiR1WfYDYiR1WfYDYiR0lXfWJH4id2LFw8TMfEDuxo/Txs+oDsRM7rPoAsRM7rPoAsRM7SrrqEz8QO7Fj4eJnPiB2Ykfp42fVB2Indiz0qk/8QOzEDvEDsRM7ED8QO7ED8QOxEzsQPxA7sQPxA7H7XaGqDCyPVU57Tv+N5/QrYgfih9jNlYPWesxCeBFC9mK9dRBPe85uLdsfBO0kyWq7+2IH4ofYzY1Op3m1GqpPm93uSrfbXBk+7nSuFp/z6u+Lzxk8LqwGk35x2w4B4ofYzYxeI26G2Hg02W7E8Cg2epvTsYsh+ymt+jqdrWs3V/O/7xweXpms9Mb6xW07BIgfYjczdmvZXlbb3StuT8fuVRRD+CWE6r+nV37DF+80JogfYjfjsdt/X+wOWuvVPM/bqyE8T8+fvpFF7ODy4ieAiN179JpxI8Ttx5Pt7Zg9yNvdteJzhqcxV299l05dHh7uXMmz7Ifp54gdXF78rP4Qu/cYXY+Lx1vt9vXx9bhvUtTGAVtKK7jeXn4jC/Gn9Jydna1PbqXY7fVuiB1Y/SF287W6G95Ysvp8ErHxTSk/TrZbeXb31Q0ocfvhWy9e7MDqD7Er/YsXO7D6Q+zEDrD6Q+zEDpiT1Z8Iip3YAaVf/Ymg2IkdIIIiKHZiB4igCIqd2AEiKIJiJ3aACCJ2YgeIIGIndoAIInZiB4ggYid2gAiKndgBiKDYiR2ACIqd2AGIoNiJHcD8RbAMMRQ7Oz7AOyP4ITEUO7EDKH0MZz2EYmcHBri0EH6sGIqdnRTg0kJYjKHYiR1A+WModmIHgNiJHQBiJ3YAYid2AIid2AEgdmIHgNiJHQBiJ3YAiJ3YASB2YgeA2IkdgNido6MQlgYxWX7taEnsAChV7LZjeDyIyUkIlV+Hf8bGI7EDoDSxOzzcuZLH/G/tbv1PcfXWt+1e+4953vir2AFQqpVd0u02V1Lsdg4Pr1xAqCqF06SVdz23cEq1InYAYjc3sTtorccshBchZC/WWwfxrCDu7Gx9kmeVpyGsPs/3ejfEDkDs5iJ2nU7zajVUnza73ZX03xg+7nSunh7Eysssb909I4ZiByB2H250qrBfeSN2na1rcfUv3+10Dv9wnv/TvUbcLN7w0ojhUWz0NovPGV43vB6eZbXWfvFu0DfvEA394rYdAkDs3indfZnVdven/u5huhPzrJXV77Vby/YG/6294vZ07LrtfC0L1X/GGP6R/h+WqneejK/znRT0i9t2CACxO1M6lZjfvPl/WZb/cBHX586I3f67Yjda/cXjer13Y3g6NYR/TT/HaUwAsfvw2NXzT/N2+78+y7Lv11sH1Yv+n+4140aI249fryCzB3m7uzb9nKkg7osdgNj9bo08/5+0omvn2d3pU5kXYbRSi8db7fb1Tmfr2s3V/JvJijKM3mZQKT4n3ZGZQuxuTACx+13SnZG1WutOusFjePdjlh99jFOZw9Xd8Frb67cUjAKX/TjZfv2ccBKbvY23XrzYAYjdB0UnXRsr3ORRCdnLj3Eq81xevNgBiN37pLcb1Gu1/y2+tSBdG8tqX341ix/8LHYAYvebpPex3crCcfGtBcW/C9mt449xOlPsALjQld3cv3ixAxA7sQNA7MQOALETOwDETuwAEDuxA0DsxA6Ai4jd0VZYvihiB8BsrOz+HE4ujNgBMBOxK8uLFzsAsRM7AMRO7AAQO7EDQOzEDgCxEzsAxE7sABA7sQMQO7GzIwCIndgBIHZiB4DYiR0AYid2AIid2AEgdmIHgNiJHYDYiR0AYid2AIid2AEgdmIHgNiJHQBiJ3YAiJ3YASB2YgcgdvMVqsrA8ljlXc89CmHptOeIHYDYzbSD1nrMQngRQvZivXUQ3xXFO9XwJDZ6m2IHIHZzo9NpXq2G6tNmt7vS7TZXho87naunPbdbj58PloC/ih2A2M2VXiNuhth4NNluxPDotJilKMbYuL8dw+PJvy+c+kz6xW07BIDYzYzdWraX1Xb3itvTsUunLxsx3k+rv6nYnRT0i9t2CACxm7XY7b8rdun05Vr93u20YkvX7EaP+5WpIDqNCSB2s6nXjBshbj+ebG/H7EHe7q5Ntg8Pd67cysLxZMWWrtkN/vwly1t3xQ5A7OZCuiklhni81W5f73S2rt1czb/ZOTy8Mg7YW28zKJ7GFDsAsZuv1d1w5bb6PN/r3XgdwezHyXYhdg9js7chdgBit3gvXuwAxE7sABA7sQNA7MQOALETOwDETuwAEDuxA0DsxA5A7MTOjgAgdmIHgNiJHQBiJ3YAiJ3YASB2YgeA2IkdAGIndgBiJ3YAiJ3YASB2YgeA2IkdAGIndgCIndgBIHZiB4DYiR2A2IkdAGIndgCIndgBIHZiB4DYiR0AYid2AIid2AEgdmIHIHZiB4DYiR0AYid2AIid2AEgdmIHgNgN/qkMLI9VTnvOUQhL73qO2AGI3Uw7aK3HLIQXIWQv1lsH8bQYNmJ4NPjzpBKyl2c8R+wAxG42dTrNq9VQfdrsdle63ebK8HGnc7X4nF4zbsRmbyM9bufZ3XA9f7ZzeHilsNJL+sVtOwSA2M2MXiNuhth4NNlOK7jY6G2e9fwUxBjicYpjWukV9IvbdggAsZsZu7VsL6vt7hW33xW7tBKMsXH/rRfvNCaA2M147PY/JHbp2l27VvsirerEDkDs5ka6Hhfi9uPJ9nbMHuTt7tppoevW4+dZ3ro7vnuzInYAYjcXJtfgttrt653O1rWbq/k36eaTccDS2w0q/YF79bXboXrnSbr5JN29mde7n4odgNjN1+pueGPJ6vN8r3fjdQSzH9N2K92B+cbNKNWfp09lih2A2JX/xYsdgNiJHQBiJ3YAiJ3YASB2YgeA2IkdAGIndgCIndgBiJ3Y2REAxE7sABA7sQNA7MQOALETOwDETuwAEDuxA0DsxA5A7MQOALETOwDETuwAEDuxA0DsxA4AsRM7AMRO7AAQO7EDEDuxA0DsxA4AsRM7AMRO7AAQO7EDQOzEDgCxEzsAxE7sAMTussJTGVgeq4gdAKWL3UFrPWYhvAghe7HeOohiB0CpYtfpNK9WQ/Vps9td6XabK8PHnc5VsQOgNLHrNeJmiI1Hk+1GDI9io7cpdh95Zwhh2RzMx3zMp4zzmYkXuVvL9rLa7l5xW+wuZWczD/MxH/Mp5XxmKXb7YueH0XzMx3zMp7Sx6zXjRojbjyfb2zF7kLe7a3Y+P4zmYz7mYz6liV26KSWGeLzVbl/vdLau3VzNv9k5PLxyQQNdLuhPbS868zAf8zGfS5tP6WP3anUXwkkIq8/zvd6NC/zt4YQz9c3AfMzHfC5rPgsRO5xmMR/zMR/zETs+xs52Yg7mYz7mU8b5GDIA5Y+pISy2oxCWTvtM0sv4rNI5mJP5vH8/qpjPa/035tC3/7w1l35lanVXuajjkQP+Yp82qKRPq0mnDyohe1n8TNLL+KzSWZ7TnWp4Unzvp/m8ns3OztYneVZ5Wry5zHxGdmvZ/uQGjOJ7iRd9Pq08uzuYyS/FDxN511zOY14O+gss3QEbm72N9Liddr7r+bP0lo/L+qzSWdWtx88Hv1b+Oomd+UwfnCovs7x1d/J35jPebyavvTiHwWPzGR9/GnGzGLuz5nJe83LQ59UPZnqvY9qhLuuzSmdR+kGLsXF/O4bHkxmYz8jh4c6V/Hp4ltVa+6PTS0dL5jP9M5X9lFYi4/cP/z39Mmk+p8furLmc17wc6HnjoD4+9XIpn1U6a0aneeP99AtAMXbmMz6Yt/O1LFT/GWP4RzpNt1S98yTNzHzePKCn03UhVP89WY2Yz+mxO2su5zUvB3qGB/V2rfZFOqgXdrr9Rf9hTKcv1+r3bqdVS7pmN3rcr5hP8TfxeFyv926MVjHhX4WD08LPJzlorVfzPG+vhvA8zaTwy4D95/TY7Z8Ru/94Xg72QldJB/V0zWV8x1Plsj6rdJakU3S3snA8ubkgXbMbXlAfzMl8xgerwRymDkL7w9NO5jP6ZSn9ArB667t06nJ4yjfLfkhzMJ/TY3fWXM5rXg74Cyzd/nuvvnY7jE4/LaebDfJ699OP+Vml86J4GtN8Cgfz8RzSHZmfZdn36W5M8xkfvPfyG1mIP03mcyvFznzeOPZktS+/mlzrPWsu5zUvB/0FNr79t/DZdNWfJ6cyP9Znlc5R7B5O7lw1nzdXd5P9x3ze8zMWtx+az++by3nMy0EfgNIzBADEDgDEDgDEDgDEDgDEDgDEDnjD1PcUvvqQZhC7BXPWlwdCGaRPfBm9Cbfy6+iNu68/NR5m/Th8EV/iurBDPuvLA2HeDT+HMeZ/a3frf4qrt75t99p/zPPGX82GeTkOX8SXuC70oKc/iBTKZPxBxN8u+ueaMl/H4Yv6EldDFjvEDmbmOHxRX+JqyGKH2MHMHIcv6ktcDVnsKGvsOlvX4upfvtvpHP7BPJiz2J37l7gasthRUulridKdmOkLZ82DeTkOX9SXuC7sgE/78kCYx/14cht28bHZMK/H4Yv6EteFHfJZXx4I8yJFbbeW7afbsNMXWo726d9+SzbM2nH4Ir7E1cBhTh201qtZiD+lW7HHn5hS6e3lNyZ/Z0YgdjD3Jhfoh28ivx6eTS7W/9ZrGSB2wGzHrt79fBS48HgSu3Rq87fcpQZiB8ysdP1iKdbTZ2AuD99gOwjfzs7WJ59l2fe/9XoGiB0wsyZvL4jN3oa3GoDYASB2ACB2ADC3/h+qX+7IfArF7AAAAABJRU5ErkJggg==)
Рисунок 4.9 – Апмлитудно-частотная характеристика.
![](data:image/jpeg;base64,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)
Рисунок 4.10 – Апмлитудно-фазовая характеристика.
В результате аппроксимации в параболу получили следующее уравнение:
.Отсюда
![](data:image/png;base64,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)
Тогда передаточная функция модели будет иметь вид:
![](data:image/png;base64,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)
Преобразуем его в MathCADe в Z-форму
![](data:image/png;base64,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)
Реализуем полученную передаточную функцию в MATLAB 6
![](data:image/jpeg;base64,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)
Рисунок 4.11 модель полученной передаточной функции в MATLAB
Результаты реализации представлены на рисунке 4.12:
![](data:image/jpeg;base64,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)
Рисунок 4.12 – Переходной процесс в объекте
Анализ графиков переходных процессов, представленных на рисунках 4.11 и 3.2 позволяет сделать вывод об их качественном сходстве, а следовательно и верности идентификации системы.
Выводы
В процессе курсовой работы были получены передаточные функции неизменяемой части, регулятора, была построена желаемая ЛАЧХ. Оценка качества регулирования была проведена на ЭВМ при помощи пакетов MatLABbMathCAD. В результате проверки можно сделать вывод об удовлетворительной работе системы при подаче на неё различных сигналов. В соответствии с заданием была разработана подсистема идентификации изменения момента инерции нагрузки. При её подключении заметно улучшилась реакция системы на нагрузку, уменьшилась динамическая ошибка. Была проведена идентификация системы цифрового электропривода как астатического звена второго порядка. По результатам сравнения модели и объекта можно судить о достаточно высокой точности идентификации.
Перечень ссылок
1. Лебедев А.М. «Следящие электроприводы станков с ЧПУ» - Москва 2000 г.
2. Лебедев А.М. «Моделирование в научно-технических исследованиях» - Москва 1999г.
3. Сердюк А.А. Лекции по курсу «Идентификация и моделирование технологических объектов» - ДГМА 2006 г.
4. Сердюк А.А. Методические указания к курсовому проектированию по дисциплине «Программное управление станков» - ДГМА 2004 г.