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Genetic Algorithm Based Speed Control of PMDC Motor Using Low Cost PIC 16F877A Microcontroller

机译:基于遗传算法的低成本PIC 16F877A单片机对PMDC电动机的速度控制

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摘要

This paper mainly aims at proposing an effective method of speed control of the low power motors like Permanent Magnet Direct Current (PMDC) motor used in the orthopedic surgeries using a natural optimization technique called genetic algorithm. Using this method, better values of Performance parameters like rise time, settling time, fall time, peak overshoot and steady state are achieved compared to the conventional PI controller. The SIMUINK MODEL of both the controller operation is obtained using MATLAB version R2013a. The simulated results reveal that the proposed control drive exhibits reduced peak overshoot, rise time, settling time and steady state error. An experimental setup is devised to validate the simulation results. The comparative analysis made depicts the superiority of the proposed algorithm with reference to its conventional counterpart.
机译:本文的主要目的是提出一种有效的速度控制方法,该方法采用一种称为遗传算法的自然优化技术来控制整形外科中使用的永磁直流(PMDC)电动机等低功率电动机。与传统的PI控制器相比,使用这种方法可以获得更好的性能参数值,例如上升时间,稳定时间,下降时间,峰值过冲和稳态。使用MATLAB版本R2013a获得两种控制器操作的SIMUINK模型。仿真结果表明,所提出的控制驱动器具有降低的峰值过冲,上升时间,稳定时间和稳态误差。设计了一个实验装置来验证仿真结果。进行的比较分析表明了该算法相对于传统算法的优越性。

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