A robust offset-free model predictive current control for induction motor based on incremental model and incremental current observer

Zhiguo Wang, Zedong Zheng, Yongdong Li, Jiawei Sun, Zhichang Deng
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引用次数: 3

Abstract

Despite the huge progress of model predictive control (MPC) for electrical drives that has taken place over the last few years, there are still some issues that require further study, such as robustness, steady-state performance, and tracking error reduction. This paper proposed a robust offset-free model predictive current control (ROF-MPCC) for induction motor. The proposed ROF-MPCC applies incremental model and incremental current observer to achieve offset-free prediction and time-delay compensation. ROF-MPCC has good robustness to the rotor flux and model parameters, and can eliminate the steady-state error in control. Experimental results demonstrate that ROF-MPCC has good stead-state and dynamic performance.
基于增量模型和增量电流观测器的感应电机鲁棒无偏置模型预测电流控制
尽管模型预测控制(MPC)在过去几年中取得了巨大的进展,但仍有一些问题需要进一步研究,如鲁棒性、稳态性能和跟踪误差减少。提出了一种用于感应电机的鲁棒无偏置模型预测电流控制方法。提出的ROF-MPCC采用增量模型和增量电流观测器实现无偏移预测和时延补偿。ROF-MPCC对转子磁链和模型参数具有良好的鲁棒性,能够消除控制中的稳态误差。实验结果表明,ROF-MPCC具有良好的稳态和动态性能。
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