针对传统永磁同步电机控制器结构复杂,负载突变时动态响应速度慢,导致电机抗干扰能力差、工作效率低的问题,提出了一种模型预测控制(model predictive control,MPC)融合最大转矩比控制(maximum torque per ampere,MTPA)的电机非级联控制方法.构建MPC和MTPA控制器,利用MPC中的代价函数同时完成转矩控制和MTPA控制,在代价函数中引入动态分配的权重系数优化非级联MPC-MTPA控制器.仿真和试验结果表明:相比传统电机控制方法,提出的变权重系数非级联MPC-MTPA控制方法的稳定性提高约26％,动态响应特性提高约50％.
Research on control of vehicle permanent magnet synchronous motor based on MPC-MTPA
The traditional permanent magnet synchronous motor controller has a complex structure and slow dynamic response speed when the load suddenly changes, resulting in poor anti-interference ability and low work efficiency of the motor. This paper presents a non cascade control method of motor based on model predictive control ( MPC) and maximum torque ratio control ( MTPA) . Firstly, MPC and MTPA controllers are built. Then, the cost function in MPC is employed to simultaneously complete torque control and MTPA control. Finally, a dynamically allocated weight coefficient is introduced into the cost function to optimize the non cascaded MPC-MTPA controller. The simulation and experimental results show the proposed variable weight coefficient of non cascaded MPC-MTPA control method improves stability by 26％ and dynamic response characteristics by 50％ compared with those of traditional motor control methods.
new energy vehicle motorsmodel predictive control ( MPC )maximum torque to current ratio ( MTPA)non cascadedynamic weight coefficient
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