Fault diagnosis and fault tolerant control for the non-Gaussian time-delayed stochastic distribution control system
Fault diagnosis and fault tolerant control for the non-Gaussian time-delayed stochastic distribution control system
复制标题
DOI：
10.1109/acc.2013.6580683
复制
发表时间：
2013-06
期刊：
影响因子：
--
通讯作者：
L. Yao;Bo Peng
中科院分区：
文献类型：
--
作者：
L. Yao;Bo Peng
随机分布控制系统的主要特征是输出概率密度函数而不是实际值。当对照系统中存在时间延迟时，故障检测，诊断和容忍控制的有效性将降低。在本文中，有理平方根B型载体用于接近输出概率密度函数。为了诊断此类系统的动态部分中的故障，然后是基于非线性神经网络观察者的故障诊断算法的新型设计。基于故障诊断信息，基于PI跟踪控制方案的新的容错控制旨在使后托概率密度函数仍在跟踪给定的分布。最后，给出了粒子分布控制问题的模拟，以显示所提出的方法的有效性。
The main feature of the stochastic distribution control system is the output probability density function rather than the real value. The effectiveness of the fault detection, diagnosis and fault tolerant control will be reduced when time delay exists in control systems. In this paper, the rational square-root B-spline is used to approach the output probability density function. In order to diagnose the fault in the dynamic part of such systems, it is then followed by the novel design of a nonlinear neural network observer-based fault diagnosis algorithm. Based on the fault diagnosis information, a new fault tolerant control based on PI tracking control scheme is designed to make the post-fault probability density function still track the given distribution. Finally, simulations for the particle distribution control problem are given to show the effectiveness of the proposed approach.