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基于改进SMO的PMSM有限集模型预测电流控制

Finite Set Model Predictive Current Control of PMSM Based on Improved SMO
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摘要 针对永磁同步电动机三矢量有限集模型预测控制系统对于电机转子信息依赖性较高的问题,利用滑模观测器观测电机转子信息,并对其进行改进,采用新型趋近率函数代替符号函数,削弱系统抖振现象,采用同步旋转坐标系下的滤波器达到补偿相位滞后、增强滤波效果的目的,实现对于转子位置和角速度的准确观测。仿真及实验结果表明采用的该控制方法具有较好的稳定性,改善了系统控制性能。 Aiming at the problem that the three-vector finite set model predictive control system of permanent magnet synchronous motor is highly dependent on the motor rotor information,an improved sliding mode observer was used to observe the motor rotor information.The new approach rate function was used substitute the symbol function to weaken the chattering phenomenon of the system.The filter in the synchronous reference coordinate system was used to compensate the phase lag,and enhance the filtering effect.The accurate observation of rotor position and angular velocity was realized.The simulation and experimental results show that the control method adopted can achieve good stability and improve the control performance of the system.
作者 马翔宇 赵希梅 金鸿雁 MA Xiangyu;ZHAO Ximei;JIN Hongyan(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
出处 《微特电机》 2024年第9期47-53,共7页 Small & Special Electrical Machines
关键词 永磁同步电动机 有限控制集 模型预测控制 电流控制 三矢量 滑模观测器 permanent magnet synchronous motor(PMSM) finite control set(FCS) model predictive control(MPC) current control three-vector sliding mode observer(SMO)
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