基于人工蜂群算法的直流双闭环PID电机调速系统研究

Research on DC Double Closed-Loop PID Motor Speed-Regulation System Based on Artificial Bee Colony Algorithm

以直流双闭环模型为基础,针对现行直流双闭环PID控制器参数整定与优化的困难,通过将人工蜂群算法引入直流双闭环调速系统,实现直流电机调速及其PID控制器参数的自整定,采用系统的阶跃响应等对人工蜂群算法的优化结果进行对比分析,表明改进的人工蜂群算法比传统工程设计法能获得更好的动态性能指标,以及更快的跟随性与鲁棒性,为PID参数优化提供了一个综合性较好的实用方法。

Based on the double closed-loop DC model, aiming at the difficulty of current DC double closedloop PID controller parameters tuning and optimization, according to the artificial bee colony algorithm which is introduced into the DC double closed-loop speed regulation system, the DC motor speed and parameters of PID controller is realized and the optimal results of artificial bee colony algorithm is compared and analyzed by using the step response of the system. The results show that the dynamic-performance-index-im- proved artificial bee colony algorithm can obtain better performance than the traditional design method and is followed faster and robust, Thus, a better overall performance and practical method is proposed for PID parameter optimization.