基于改进型的交叉耦合双电机同步控制方法

Synchronous Control Method of Double Motor based on Improved Cross-coupling

针对传统双电机同步控制精度低,难以实现同步控制的不足,以PMSM为被控对象,建立其数学模型,在传统交叉耦合控制的基础上提出基于模糊PID控制的交叉耦合控制策略。采用遗传算法对参数进行优化,确定改进模糊控制器的参数范围,实现参数自整定。仿真结果表明改进后的交叉耦合控制方法对双电机控制的同步性和抗干扰性都有所提高。

It is difficult to realize the synchronous control for the traditional double motor because of the low precision. Taking the permanent magnet synchronous motor（PMSM） as the controlled object,we set up its mathematical model,and propose the cross coupling control strategy based on fuzzy PID control on the basis of the traditional cross coupling control. The genetic algorithm is used to optimize the parameters,determine the parameter range of improved fuzzy controller,and realize the self-tuning of parameters. The simulation results show that the synchronization performance and anti-jamming performance of the improved cross coupling control strategy of double motor control are both improved.