基于定时滑模观测器的多故障估计方法及其在永磁同步电机驱动系统中的应用

IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Transactions of the Institute of Measurement and Control Pub Date : 2023-10-18 DOI:10.1177/01423312231200058
Zhangyu Zhou, Feng Xu, Yuchen Dai
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引用次数: 0

摘要

针对一类同时存在多种故障的非线性系统的快速故障估计问题,提出了一种基于积分滑模观测器的定时多故障估计方法。首先,考虑一类具有致动器和传感器故障的非线性系统,通过坐标变换将原系统分解为两个子系统,实现致动器和传感器故障的解耦;然后,引入中间变量,将传感器故障转化为增强系统的执行器故障。针对变换后的系统,设计了基于积分滑模的定时故障观测器,实现了对未知项的快速估计,并证明了其定时收敛性能。基于故障观测器的输出,对原系统中的执行器和传感器故障进行重构。最后,在硬件在环平台上建立了永磁同步电机的故障模型,验证了所设计的故障估计方法的有效性。
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Fixed-time sliding mode observer-based multi-faults estimation method and its application to PMSM drive system
An integral sliding mode observer-based fixed-time multi-faults estimation method is proposed to solve the problem of fast fault estimation for a class of nonlinear systems with multiple types of faults simultaneously. First, a class of nonlinear systems with actuator and sensor faults is considered, and the original system is transformed into two subsystems through coordinate transformation to decouple the actuator and sensor faults. Then, intermediate variables are introduced to transform sensor faults into actuator faults of the augmented systems. For the transformed system, a fixed-time fault observer based on integral sliding mode is designed to realize the fast estimation of unknown terms, and the fixed-time convergence performance is proved. Moreover, based on the output of the fault observer, the actuator and sensor faults in the original system are reconstructed. Finally, the fault model of the permanent magnet synchronous motor is established in the hardware-in-the-loop platform, and the effectiveness of the designed fault estimation method is verified.
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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
203
审稿时长
3.4 months
期刊介绍: Transactions of the Institute of Measurement and Control is a fully peer-reviewed international journal. The journal covers all areas of applications in instrumentation and control. Its scope encompasses cutting-edge research and development, education and industrial applications.
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