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首页> 外文会议>IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics >A robust offset-free model predictive current control for induction motor based on incremental model and incremental current observer
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A robust offset-free model predictive current control for induction motor based on incremental model and incremental current observer

机译：基于增量模型和增量电流观测器的鲁棒无偏移模型异步电动机预测电流控制

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摘要

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.
机译：尽管在过去的几年中，电气驱动器的模型预测控制（MPC）取得了巨大进步，但是仍然存在一些需要进一步研究的问题，例如鲁棒性，稳态性能和跟踪误差的减少。本文提出了一种用于鲁棒感应电动机的鲁棒无偏移模型预测电流控制（ROF-MPCC）。提出的ROF-MPCC应用增量模型和增量电流观测器来实现无偏移预测和时延补偿。 ROF-MPCC对转子磁通和模型参数具有良好的鲁棒性，并且可以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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