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%。
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.
作者
黄睿
常九健
龙涛
HUANG Rui;CHANG Jiujian;LONG Tao(Automotive Engineering Technology Research Institute,Hefei University of Technology,Hefei 230009,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2024年第3期24-32,共9页
Journal of Chongqing University of Technology：Natural Science
基金
安徽省新能源汽车暨智能网联汽车创新工程资助项目(IMIZX2019005)。
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
new energy vehicle motors
model predictive control(MPC)
maximum torque to current ratio(MTPA)
non cascade
dynamic weight coefficient
