采用MPC-MTPA的新能源车永磁同步电机控制研究
Research on control of vehicle permanent magnet synchronous motor based on MPC-MTPA
黄睿 1常九健 1龙涛1
作者信息
- 1. 合肥工业大学 汽车与交通工程学院,合肥 230009
- 折叠
摘要
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％.
Abstract
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.
关键词
新能源汽车电机/模型预测控制/最大转矩比控制/非级联/变权重系数Key words
new energy vehicle motors/model predictive control ( MPC )/maximum torque to current ratio ( MTPA)/non cascade/dynamic weight coefficient引用本文复制引用
基金项目
安徽省新能源汽车暨智能网联汽车创新工程资助项目(IMIZX2019005)
出版年
2024
国家科技期刊平台
NSTL
万方数据