基于积分滑动模式观测器的等效输入扰动方法,用于永磁同步电机驱动系统的容错控制

IF 2.3 3区 工程技术 Q2 ACOUSTICS
Gang Huang, Jiajun Li, Yao Yang, Yuhan Zhang
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引用次数: 0

摘要

针对永磁同步电机(PMSM)驱动系统因机械振动和高温引起的永磁体退磁而导致控制性能下降的问题,本文提出了一种基于积分滑模观测器(ISMO)的等效输入扰动(EID)容错控制方法。首先建立了在 dq 轴坐标系下发生退磁故障的 PMSM 的数学模型。然后,将该模型转换为 EID 系统模型。使用 ISMO 估算 EID 系统和等效输入失磁故障的状态变量。对等效输入磁化故障的估计以前馈方式进行补偿。因此,实现了 PMSM 去磁的容错控制。最后,给出了 ISMO 和整个 EID 系统的稳定性分析。硬件在环实验的对比结果表明,所设计的方法能有效提高 PMSM 驱动系统的容错控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integral sliding-mode observer-based equivalent-input-disturbance method for fault-tolerant control of permanent magnet synchronous motor drive system
Aiming at the problem of the control performance degradation of a permanent magnet synchronous motor (PMSM) drive system due to permanent magnet demagnetization, which is caused by mechanical vibration and high temperature, this paper presents an equivalent-input-disturbance (EID) fault-tolerant control method based on an integral sliding-mode observer (ISMO). The mathematical model of a PMSM with demagnetization fault in dq-axis coordinate system is first established. Then, the model is transformed into an EID system one. An ISMO is used to estimate the state variables of the EID system and an equivalent-input-demagnetization fault. The estimate of the equivalent-input-demagnetization fault is compensated in a feed-forward manner. Thus, the fault-tolerance control of PMSM demagnetization is achieved. Finally, the stability analyses of the ISMO and the entire EID system are given. The comparative results of a hardware-in-the-loop experiment show that the designed method effectively improves the fault-tolerant control performance of a PMSM drive system with demagnetization fault.
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来源期刊
Journal of Vibration and Control
Journal of Vibration and Control 工程技术-工程:机械
CiteScore
5.20
自引率
17.90%
发文量
336
审稿时长
6 months
期刊介绍: The Journal of Vibration and Control is a peer-reviewed journal of analytical, computational and experimental studies of vibration phenomena and their control. The scope encompasses all linear and nonlinear vibration phenomena and covers topics such as: vibration and control of structures and machinery, signal analysis, aeroelasticity, neural networks, structural control and acoustics, noise and noise control, waves in solids and fluids and shock waves.
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