摘要
针对三电平间接矩阵变换器-永磁同步电机系统(three-level indirect matrix converter-permanent magnet synchronous motor,TLIMC-PMSM)存在的模型预测控制(model predictive control,MPC)开关频率不固定以及传统调制型模型预测控制(modulation model predictive control,MMPC)计算负荷过重等问题,提出了改进型MMPC方法,旨在提高系统的控制性能和效率。首先,详细介绍了TLIMC-PMSM系统的拓扑结构和原理。其次,指出了基于MPC和传统MMPC的控制系统存在的问题;然后,提出了简化了逆变级扇区选择方法,采用输出电压预测改进型MMPC方法,并修改了逆变级价值函数。最后,在MATLAB/Simulink软件平台上实验验明了基于改进型MMPC的TLIMC-PMSM系统相较于传统的两种控制方法,具有更为优异的控制性能。
An improved modulation model predictive control(MMPC)method is proposed to enhance the control performance and ef⁃ficiency of the three-level indirect matrix converter-permanent magnet synchronous motor(TLIMC-PMSM)system,which suffers from the non-fixed switching frequency issue in model predictive control(MPC)and the heavy computational burden in traditional modulation model predictive control(MMPC).Firstly,the topology structure and principles of the TLIMC-PMSM system are introduced in detail.Secondly,the issues of the control system based on MPC and traditional MMPC are identified.Then,the improved MMPC method is proposed,which simplifies the sector selection method of the inverter level,adopts the improved output voltage prediction MMPC method,and modifies the inverter level value function.Finally,the experimental verification on the MATLAB/Simulink demonstrates that the TLIMC-PMSM system based on the proposed improved MMPC method exhibits superior control performance compared to the two traditional control methods.
作者
程启明
程尹曼
张磊
张昕
CHENG Qiming;CHENG Yinman;ZHANG Lei;ZHANG Xin(Shanghai Key Laboratory Power Station Automation Technology Laboratory,College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China;State Grid Shanghai Shibei Electric Power Supply Company,Shanghai 200072,China)
出处
《南方电网技术》
CSCD
北大核心
2024年第10期11-22,共12页
Southern Power System Technology
基金
国家自然科学基金资助项目(62303301)
上海市电站自动化技术重点实验室开放项目(13DZ2273800)。
关键词
三电平间接矩阵变换器
永磁同步电机
空间矢量调制
调制模型预测控制
价值函数
three-level indirect matrix converter
permanent magnet synchronous motor
space vector modulation
modulation model predictive control
cost function