头部-双臂-躯干系统的模糊故障检测观测器设计

Juntao Pan, Rongrong Li, Sujun Wang, Weiwei Zhang
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引用次数: 0

摘要

研究了受限频域条件下H2AT模型故障检测观测器的设计问题。假设干扰和故障频率都是已知的,并且处于中频范围内。与以往的结果不同,H2AT模型用N-TS模糊模型表示。它允许分离局部非线性结果中的未测前提变量(UPV),为处理UPV提供了一种更有效的方法。为了保证对扰动的最佳鲁棒性和对故障的最佳灵敏度,故障检测观测器结合了$H$- / $H$∞性能。根据微分中值定理(DMVT)的性质得到设计条件。仿真结果验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Fault Detection Observer Design for Head-Two-Arms-Trunk System
This paper deals with the problem designing fault detection observer for H2AT model in restricted frequency-domain specifications. Both disturbances and fault frequencies are assumed to be known and reside in a middle-frequency range. Different from previous results, the H2AT model is represented in the N-TS fuzzy model. It allows separating the unmeasured premise variables (UPV) in the local nonlinear consequent which provides a more effective way to deal with the UPV. In order to guarantee the best robustness to disturbances and sensitivity to faults, the fault detection observer combines the $H$- / $H$∞ performances. The design conditions are obtained based on Differential Mean Value Theorem (DMVT) property. Simulation result are conducted to demonstrate the viability and validity of the presented method.
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