Sliding-Mode MRAS based Encoderless Predictive Torque Control for Induction Machine

Haotian Xie, Qing Chen, Ying Tang, R. Kennel, Fengxiang Wang, Anjun Xia, Zhenbin Zhang, José R. Rodríguez
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引用次数: 4

Abstract

This paper presents a sliding-mode (SM) model reference adaptive system (MRAS) observer for predictive torque control (PTC) in the induction machine drives. The PTC scheme is one of the most promising control strategy for electrical drives. However, its performance is constrained due to the accuracy of parameter and speed estimation. The proposed SM MRAS is employed to estimate rotor speed for PTC. The dominant feature of the methodology is that the adjustable model is modified by a sliding manifold in accordance with the error signal. Compared with conventional MRAS, the proposed method is more robust and easily tuned. To enhance robustness of the PTC scheme to the parameter variation, the extended rotor resistance compensation is employed in the estimator. In this paper, the experimental results confirm that the proposed method achieves fast dynamic performance and strong robustness.
基于滑模MRAS的感应电机无编码器预测转矩控制
提出了一种用于感应电机预测转矩控制的滑模模型参考自适应系统(MRAS)观测器。PTC方案是目前电传动中最有前途的控制策略之一。然而,由于参数估计和速度估计的准确性,其性能受到限制。采用该方法对PTC转子转速进行估计。该方法的主要特点是根据误差信号对可调模型进行滑动流形修正。与传统的MRAS相比,该方法具有更强的鲁棒性和易调优性。为了提高PTC方案对参数变化的鲁棒性,在估计器中加入了扩展转子电阻补偿。实验结果表明,该方法具有较快的动态性能和较强的鲁棒性。
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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