Ultra-Local Model-Free Predictive Current Control for PMLSM drive systems with Moving Horizon Estimator

Haichuan Niu, Zhixun Ma, G. Lin, Jian Huang
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引用次数: 1

Abstract

Model-based predictive current control (MBPCC) methods have been applied in the field of motor control due to its better dynamic response and intuitive design, but the high performance of MBPCC are easy to be influenced by parameter mismatch which could lead to the deterioration of control performance. In this work, a model-free predictive current control method based on ultra-local model with moving horizon estimator (MFPCC-MHE) is proposed to overcome the influence of parameter mismatch on the MBPCC to improve the robustness of system and simplify the design of current loop. The total disturbance of system which contained known terms and unknown disturbance terms are obtained by MHE accurately. Simulation results show that the proposed MFPCC-MHE realize the effectively eliminate the influence of PMLSM parameter mismatch and has good robustness.
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基于移动水平估计器的永磁同步电机驱动系统超局部无模型预测电流控制
基于模型的预测电流控制(MBPCC)方法由于其良好的动态响应和直观的设计,在电机控制领域得到了广泛的应用,但MBPCC的高性能容易受到参数失配的影响,从而导致控制性能的恶化。本文提出了一种基于移动水平估计的超局部模型无模型预测电流控制方法(MFPCC-MHE),克服了参数失配对MBPCC的影响,提高了系统的鲁棒性,简化了电流环的设计。用MHE精确地得到了包含已知扰动项和未知扰动项的系统总扰动。仿真结果表明,所提出的MFPCC-MHE实现了有效消除PMLSM参数失配的影响,具有良好的鲁棒性。
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8
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