基于遗传算法与模糊PID复合控制的电机调速研究

Research on Control of PMSM Speed Control System Based on Genetic Algorithm and Fuzzy PID

为了加强永磁同步电机调速系统的智能控制,提出了一种基于遗传算法与模糊PID智能控制的永磁同步电机调速控制策略。首先建立永磁同步电机的基本模型,利用遗传算法对模糊PID控制器进行改进,优化其参数选择和提高控制效率,并搭建Simulink仿真模型和实验验证模型。其结果得到:利用遗传算法能够迅速得到模糊PID控制器的最佳匹配初始参数,且在电机起动阶段和突加干扰阶段,遗传改进模糊PID控制系统相比于传统的PID控制系统其转速、转矩以及三相电流输出均表现出更加稳定以及波动更小。系统出现干扰后,在该组合智能控制作用下系统在极短时间内恢复稳定,其动态响应速度显著快于传统PID控制方法。结果表明该基于遗传算法与模糊PID控制系统能够对永磁同步调速系统进行有效控制,进而使系统具有较优异的起动特性和动态稳定。

In order to improve the characteristic of PMSM speed control system,a new speed control strategy based on genetic improved fuzzy PID intelligent control was proposed.The basic model of PMSM was established.Genetic algorithm was used to improve the fuzzy PID controller to optimize its parameter selection and improve the control efficiency.And the simulation model and experimental verification model were built.It can be obtained that the optimal matching initial parameters of fuzzy PID controller can be obtained quickly by using genetic algorithm.Compared with the traditional PID control system,the speed,torque and three-phase current output of the genetic improved fuzzy PID control system are more stable and have less fluctuation in the motor start-up stage and sudden disturbance stage.After the system is disturbed,the system can recover stability within shorttime under the combined intelligent control.Its dynamic response speed is significantly faster than the traditional PID control method.The simulation results show that the fuzzy PID control system based on genetic improvement can effectively control the permanent magnet synchronous speed regulation system,and then make the system have excellent starting characteristics and dynamic stability.