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首页> 外文会议>IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics >Sliding-Mode MRAS based Encoderless Predictive Torque Control for Induction Machine
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Sliding-Mode MRAS based Encoderless Predictive Torque Control for Induction Machine

机译：基于滑模的MRAS用于感应机的切口预测扭矩控制

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摘要

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.
机译：本文介绍了一种滑模（SM）模型参考自适应系统（MRAS）观察者，用于在感应机器驱动器中的预测扭矩控制（PTC）。 PTC方案是电动驱动器最有希望的控制策略之一。但是，由于参数和速度估计的准确性，其性能受到约束。所提出的SM MRAS用于估计PTC的转子速度。方法的主导特征是可调节模型由根据误差信号的滑动歧管进行修改。与传统的MRA相比，所提出的方法更加坚固且易于调整。为了增强PTC方案对参数变化的稳健性，在估计器中采用延伸的转子电阻补偿。在本文中，实验结果证实该方法实现了快速动态性能和强大的鲁棒性。

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