基于简单预测转矩控制的电动汽车永磁同步电机驱动

Raviteja Meesala, Sivaprasad Athikkal, Ranjeev Aruldavid, D. Srinivasan
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引用次数: 0

摘要

模型预测控制(MPC)是一种新兴的电动汽车永磁电机驱动控制策略。显然,MPC功能的永磁电机驱动器在各种稳态和动态条件下提供较少的转矩波动和良好的响应。本文提出了一种基于模型预测转矩控制的永磁同步电动机磁链和转矩控制的简单方案。在此模型预测转矩控制中,使用两个不同的转矩和磁链控制成本函数,而不指定权重因子。该简化方案为永磁同步电机驱动提供了良好的稳态响应。通过对直接转矩控制的稳态和动态特性的仿真验证了该控制方法的有效性。仿真模型在MATLAB 2020a-Simulink环境下建立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simple Predictive Torque Control functioned PMSM drive for Electric Vehicles
Model predictive control (MPC) is one of the emerging control strategies for permanent magnet motor drives in Electric Vehicle application. It’s evident that MPC functioned permanent magnet motor drives provide less torque ripples and good response over various steady state and dynamic conditions. In this paper, a simple scheme for flux and torque control of permanent magnet synchronous motor (PMSM) using model predictive torque control is proposed. In this proposed model predictive torque control, two distinct cost functions for torque and flux control are used without assigning weighting factor. This simplified scheme initiates good steady state response for PMSM drive. The proposed control is validated by simulations with regard to steady state and dynamic characteristics over direct torque control. The simulation model is built in MATLAB 2020a-Simulink environment.
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