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首页> 外文期刊>International Journal of Innovative Computing Information and Control >ROBUST ACTUATOR AND SENSOR FAULT ESTIMATION FOR FUZZY DELAY SINGULARLY PERTURBED SYSTEMS VIA PROPORTIONAL MULTIPLE-INTEGRAL OBSERVER
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ROBUST ACTUATOR AND SENSOR FAULT ESTIMATION FOR FUZZY DELAY SINGULARLY PERTURBED SYSTEMS VIA PROPORTIONAL MULTIPLE-INTEGRAL OBSERVER

机译:通过比例多积分观测器模糊延迟奇异扰动系统的强大致动器和传感器故障估计

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摘要

This paper addresses the problem of fault estimation (FE) for a class of time delay fuzzy singular perturbed systems with actuator fault, sensor faults and external disturbances simultaneously. By taking the system fault as auxiliary disturbance signal, a proportional multiple-integral (PMI) FE observer under H_∝ constraint is constructed. Then, the less conservative sufficient conditions for the existence of observer are explicitly provided. The resulted estimator can guarantee that the error dynamic systems are asymptotically stable u(t) = 0 and satisfy H_∝ performance for sufficiently small perturbation parameter ε. Compared with the existing results, the gains of estimator are solved directly by a set of e-independent LMIs, and the proposed estimator can better describe the shape and size of system faults. Meanwhile, the design scheme is with less conservative and a wilder application range. Finally, the simulation results show the effectiveness of the proposed approach.
机译:本文解决了一类时间延迟模糊奇异扰动系统的故障估计(FE)的问题,同时具有执行器故障,传感器故障和外部干扰。 通过将系统故障作为辅助干扰信号,构造了H_α约束下的比例多积分(PMI)FE观察器。 然后,明确提供了较少保守的足够存在的观察者的条件。 所产生的估计器可以保证错误动态系统是渐近稳定的U(t)= 0并且满足足够小的扰动参数ε的H_α性能。 与现有结果相比,估计器的收益直接通过一组电子独立的LMI来解决,所提出的估计器可以更好地描述系统故障的形状和大小。 同时,设计方案具有较少的保守和诸如挥霍应用范围。 最后,仿真结果表明了提出的方法的有效性。

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