线性感应电机自适应高阶滑模观测器

2018 15th International Workshop on Variable Structure Systems (VSS) Pub Date : 2018-07-01 DOI:10.1109/VSS.2018.8460452

Lei Zhang, Hussein Obeid, S. Laghrouche, M. Hamerlain

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引用次数: 0

摘要

本文提出了一种新的自适应高阶滑模方法，仅使用测量的定子电压和定子电流，即可重建直线感应电动机的状态(电流和磁通)、速度和与速度相关的参数w。设计了自适应律来估计速度和与速度相关的参数w，并用李亚普诺夫理论证明了它们的稳定性。然后将估计值$\hat{v}，\hat{w}$抑制为高阶滑模观测器(HOSMO)。将超扭曲算法(STA)以其明显的优势应用于HOSMO。最后，仿真结果验证了所提自适应HOSMO方案的性能。

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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Adaptive High Order Sliding Mode Observer of Linear Induction Motor

This paper presents a novel adaptive high order sliding mode method for linear induction motor (LIM) to reconstruct the states (currents and fluxes), speed and speed-depended parameter $w$, only using the measured stator voltages and stator currents. The adaptive law is designed to estimate speed and speed-depended parameter $w$, and their stability have been proved with Lyapunov's theory. Then the estimated values $\hat{v},\hat{w}$ are rejected into higher order sliding mode observer (HOSMO). Super twisting algorithm (STA), with its obvious advantage, is applied into HOSMO. Finally, simulation results validated the performance of the proposed adaptive HOSMO scheme.

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2018 15th International Workshop on Variable Structure Systems (VSS)

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