基于遗传算法的电机操动机构设计及参数自整定

Design and parameter self-tuning of motoroperating mechanism based on genetic algorithm

为了提高电机驱动隔离开关的工程实用性,解决电机参数通用性差、调试时间长的问题,提出了一套应用于隔离开关的电机操动机构设计方案。首先设计一种采用矢量控制策略的伺服驱动器,随后对电机参数进行辨识,推导出控制器参数的整定公式,再利用遗传算法对控制器参数进行优化,从而得到性能最优的PI参数。试验结果证明,经遗传算法优化后,电机操动机构在分合闸过程中运行速度平稳,停止过程无明显的过冲现象,该机构已通过产品质量检验研究院试验检测,具备工程应用资格。

In order to improve the engineering practicality of motor driven isolation switches and solve the problems of poor universality of motor parameters and long debugging time,a set of motor operating mechanism design scheme applied to isolation switches is proposed.Firstly,a servo driver using vector control strategy is designed.Subsequently,the motor parameters are identified,and the tuning formula for the controller parameters is derived.Then,genetic algorithm is used to optimize the controller parameters to obtain the PI parameters with the best performance.The experimental results show that after optimization by genetic algorithm,the motor operating mechanism runs smoothly during the opening and closing process,and there is no obvious overshoot phenomenon during the stopping process.The mechanism passes the test of the product quality inspection and research institute and is qualified for engineering application.