A Rapid Diagnosis Method of Small Faults Based on Adaptive Sliding Mode Observer

Chang Liu, Ruirui Huang, Yandong Hou, Qianshuai Cheng
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Abstract

In order to solve the problem of fast fault estimation involving large amplitude noise disturbance and small amplitude fault at the same time, a new sliding mode variable structure adaptive estimation method is designed. First, the original system is decoupled into two subsystems by constructing a suitable transformation matrix. For the subsystem containing only minor faults, a small fault fast estimation algorithm is proposed, which significantly improves the estimation performance of small faults. For the subsystem containing noise disturbances and small faults, a sliding mode observer is designed to eliminate the effects of noise and stabilize the integrated observer. Then the Lyapunov stability theory is used to prove the stability of the proposed integrated observer. Finally, the effectiveness of the method is verified by simulation experiments.
基于自适应滑模观测器的小故障快速诊断方法
为了解决大振幅噪声干扰和小振幅故障同时存在的快速故障估计问题,设计了一种新的滑模变结构自适应估计方法。首先,通过构造合适的变换矩阵,将原系统解耦为两个子系统。针对仅包含小故障的子系统,提出了一种小故障快速估计算法,显著提高了小故障的估计性能。对于包含噪声干扰和小故障的子系统,设计了滑模观测器来消除噪声的影响,稳定集成观测器。然后利用李雅普诺夫稳定性理论证明了所提出的集成观测器的稳定性。最后,通过仿真实验验证了该方法的有效性。
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