Dual-Sliding-Mode-Observer-Based IPMSM Sensorless Control Technique

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2024-07-05 DOI:10.1155/2024/5512231
Sang Xu, Anwen Shen, Mingzhen Zhang, Qipeng Tang, Xin Luo, Jinbang Xu
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Abstract

Back electromotive force (EMF)-based sliding mode observer (SMO) is increasingly employed for interior permanent magnet synchronous machine (IPMSM) sensorless drives due to its high robustness to external disturbance and low sensitivity to system parameter variations. However, its control performance is severely weakened by the inherent chattering and speed iteration operation. In order to effectively resolve these problems, a strategy to design a dual-SMO is proposed in this paper. With the proposed strategy, the combination of the stator-voltage transformation matrix (SVTM) and the low-pass filter is developed to obtain the rotor position information, which greatly alleviates the chattering without any deviations. Meanwhile, three independent equations are constructed and extracted by placing two SVTMs in different locations. By solving these three equations, the rotor position can be calculated directly with zero phase shift, which eliminates the speed iteration operation and improves the system’s dynamic performance. Furthermore, by analyzing the influences of machine parameters’ variations, the suitable virtual q-axis inductance can be selected to quickly achieve the optimal-efficiency sensorless control of the IPMSM. Finally, the experimental results on an IPMSM demonstrate that the rotor position with good steady-state and dynamic performance can be obtained accurately by using the proposed sensorless control strategy.

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基于双滑动模式观测器的 IPMSM 无传感器控制技术
基于反向电动势(EMF)的滑模观测器(SMO)对外部干扰具有很强的鲁棒性,对系统参数变化的敏感性较低,因此越来越多地应用于内部永磁同步机(IPMSM)无传感器驱动器。然而,其固有的颤振和速度迭代操作严重削弱了其控制性能。为了有效解决这些问题,本文提出了一种设计双 SMO 的策略。根据所提出的策略,结合定子电压变换矩阵(SVTM)和低通滤波器来获取转子位置信息,从而大大缓解了颤振,且不会出现任何偏差。同时,通过在不同位置放置两个 SVTM,构建并提取了三个独立方程。通过求解这三个方程,可以直接计算出相移为零的转子位置,从而消除了速度迭代操作,提高了系统的动态性能。此外,通过分析机器参数变化的影响,可以选择合适的虚拟 q 轴电感,从而快速实现 IPMSM 的最佳效率无传感器控制。最后,在 IPMSM 上的实验结果表明,使用所提出的无传感器控制策略可以精确地获得具有良好稳态和动态性能的转子位置。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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