An adaptive torque controller with MTPA for an IPMSM using model based self-correction

Li-Yu Daisy Liu, K. Hameyer
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引用次数: 7

Abstract

In this paper a novel adaptive Maximum Torque per Ampere (MTPA) control scheme of an interior permanent magnet synchronous machine (IPMSM) is introduced. To avoid an on- or off-line numerical calculation of the reference current for the MTPA curve, a reference model of the torque which is equivalent to the IPMSM with zero d-axis current is utilized to enforce the torque of the IPMSM towards its reference value along the MTPA curve dynamically. Considering the parameter variation, an adaptive current controller with parameters and torque estimation using model reference adaptive system (MRAS) is embedded. The uncertainty within the IPMSM plant is estimated by a general voltage error to guarantee the stability of the current control loop. The parameter error of the IPMSM is estimated by a recursive least square method with a forgetting factor (RLS-FF). The stability of the proposed control scheme is proved. The simulation results demonstrate the performance of the adaptive torque controller with MTPA.
基于模型自校正的永磁同步电动机MTPA自适应转矩控制器
本文介绍了一种新的内嵌式永磁同步电机(IPMSM)自适应最大转矩/安培(MTPA)控制方案。为了避免对MTPA曲线的参考电流进行在线或离线的数值计算,利用与d轴电流为零的IPMSM等效的转矩参考模型,使IPMSM的转矩沿MTPA曲线动态地向其参考值靠拢。考虑参数变化,采用模型参考自适应系统(MRAS)嵌入自适应电流控制器进行参数和转矩估计。为了保证电流控制回路的稳定性,采用一般电压误差来估计IPMSM装置内部的不确定性。采用带遗忘因子的递推最小二乘法(RLS-FF)估计IPMSM的参数误差。验证了所提控制方案的稳定性。仿真结果验证了MTPA自适应转矩控制器的性能。
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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