遗传算法在模糊PID交流电机矢量控制系统中的应用

Application of genetic algorithm in fuzzy PID vector control system of AC motor

交流电机矢量控制系统是一个非线性、强耦合性、时变的复杂系统,用传统的PID难以达到理想的控制效果,而基于模糊控制原理与传统PID原理相结合的模糊PID控制器取决于模糊控制规则,但规则的设置依赖人的主观经验,不一定能达到最优。该文结合遗传算法和模糊PID控制的优点,用模糊推理在线整定PID控制参数,利用遗传算法优化模糊控制规则。仿真结果表明,这是一种非常有效的控制方法,能够达到理想的控制效果。

It is difficult to achieve the desired control in vector control system for AC motor by using the ordinary PID controller due to the control system is a nonlinear,strong couple,and complicated time-varying system.A fuzzy-PID controller that based on the fuzzy control theory and ordinary PID principle depends on control rules,which comes from subjective experience and always is not optimal.Combined advantages of genetic algorithm and fuzzy PID control system,use fuzzy reasoning on-line to adjust PID control parameters and utilize genetic algorithm to optimize fuzzy control rules.The result of simulation indicates that the control strategy is effective,and the control effect is pretty good.