Fuzzy model predictive control of a permanent magnet synchronous motor in electric vehicles

Zhitao Liu, Youyi Wang, Jian Du
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引用次数: 8

Abstract

In this paper, fuzzy model predictive control(FMPC) is applied to the speed control of permanent magnet synchronous machine(PMSM) in electric vehicles(EVs). PMSM are being widely used in vehicle industry, but as its highly nonlinear model, it is difficult to regulate the motor speed. In order to improve the performance of EVs, model predictive control is used to control PMSM based on the Takagi-Sugeno fuzzy approach. The proposed FMPC for the PMSM is used to regulate the speed to track the driving cycle, and simulation results are given to shown the effectiveness of the proposed controller.
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电动汽车永磁同步电机模糊模型预测控制
本文将模糊模型预测控制(FMPC)应用于电动汽车永磁同步电机的速度控制。永磁同步电机在汽车工业中得到了广泛的应用,但由于其高度非线性模型,电机转速难以调节。为了提高电动汽车的性能,采用基于Takagi-Sugeno模糊方法的模型预测控制对永磁同步电机进行控制。利用所提出的永磁同步电机FMPC来调节转速以跟踪驱动周期,仿真结果表明了所提出控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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