感应电机最小定子电流的PI预测函数控制

研究感应电机效率优化问题,针对目前传统控制方法在电动机动态时为使电机能够提高响应性能而无法兼顾效率优化的缺点,设计了一种基于多变量PI预测函数的最大转矩电流比控制策略.通过引入预测输出误差项,构建具有比例、积分性质的多变量预测函数控制器,并应用到感应电机电流环控制中.能够有效地控制定子电流励磁分量与转矩分量,从而实现电动机转子磁链与转速的解耦控制.改进型多变量PI预测函数控制策略具有跟踪效果好、抗干扰能力强、无超调、稳态误差小的优点,兼顾了感应电机的动态效率与转速响应速度.同时该算法与传统预测控制器结构类似,便于广大工程人员设计实现,适用于电动汽车中的驱动电机.

Research on Minimum Stator Current Control of Induction Motor Based on PI Functional Control

Issues of induction machine efficiency optimization are studied.To overcome the disadvantages of conventional control methods of inability to balance the efficiency optimization and response performance,a maximum torque-current ratio control strategy based on multivariable PI predictive functional control is provided.A multivariable predictive functional controller with proportion and integral characteristics is established by introducing predicted output errors,and it is applied to the current loop control for induction motor.It can effectively control the excitation component and torque component of stator current,and achieve the decoupling of rotor flux and speed.The improved multivariable PI predictive functional control strategy has the advantages of good trace performance,strong anti-interference ability and small steady-state errors,which has both dynamic efficiency and speed response of induction machine.In addition,this algorithm has a similar construction to the conventional controller,it is easy to implement for engineers,and it is applicable to drive the induction machine in the electric vehicles.