具有状态时滞和控制时滞的不确定系统的鲁棒故障辨识研究

Fault identification is an important approach to improve the safety and reliability for dynamic systems.Hence, the study on fault identificaiton has become a hot research field, but mainly focuses on delay-free systems. Time delay is commonly encountered in various engineering systems.This project is aiming at presenting effective fault identification methods and extending delay-free system fault identification methods to uncertain systems with time delays in both controlvector and state vector.To improve the swiftness, accuracy and robustness of fault identification of time delay systems, so as to promote the research process of uncertain time delay systems.The main contents include(1) Based on bounded real lemma, we study the robust fault identification problem of time delay systems;(2)based on deconvolution filters,present the corresponding design methods for robust deconvolution fault identifiers;(3)We will also study the robust H∞ fault identification problem of time delay systems based on H∞ control theory, and present methods for robust H∞ fault identification. This project belongs to applied basic researches, the theoretic results of this project will provide effective fault identification methods for complex industry process, robot, aircraft, and so on. The theoretic results of this project will reach the advanced level in the area of fault diagnosis and fault tolerant control, and have important value in both theory and applications.

动态系统的故障辨识技术因其在保障系统正常安全运行方面的重要地位和作用，已成为领域研究热点，但现有的故障辨识研究主要集中在无时滞系统。本项目针对各类工业系统中广泛存在的含有状态时滞和控制时滞的不确定系统，将无时滞系统故障辨识方法拓展到这类不确定时滞系统，以提高故障辨识的快速性、准确性和鲁棒性为宗旨，推进不确定时滞系统故障辨识的研究进程。主要研究内容包括：（1）基于有界实引理，研究不确定时滞系统的鲁棒故障辨识新方法；（2）利用去卷积滤波器技术，研究不确定时滞系统的鲁棒去卷积故障辨识器设计的新方法；（3）借助于H∞控制理论，研究不确定时滞系统的鲁棒H∞故障辨识问题，给出鲁棒H∞故障辨识器设计的新方法。本项目属于应用基础研究，研究成果将为复杂的工业过程、机器人、飞行器等系统的故障辨识提供有效的方法，具有广泛的应用前景，对于故障诊断和容错控制的发展具有重要意义。理论研究预计达到国际先进水平。

在各类工业系统中，时滞现象是极其普遍的，时滞的存在使得系统的分析和综合变得更加复杂和困难，同时时滞的存在也往往是系统不稳定和系统性能变差的根源，因而深入研究时滞系统的故障诊断技术，不但具有重要的理论意义，而且也具有巨大的实际应用价值。本项目以提高时滞系统故障辨识的快速性、准确性和鲁棒性为宗旨，基于有界实引理和去卷积滤波器，分别在有限时域和无限时域内解决了不确定时滞系统的鲁棒故障辨识问题，给出了鲁棒去卷积故障辨识器的设计方法；基于H∞控制理论和微分对策理论，解决了不确定时变系统的鲁棒H∞故障辨识问题，给出了鲁棒H∞故障辨识方法。这项研究为复杂的工业过程、机器人、飞行器等系统的故障诊断提供有效的方法，具有广泛的应用前景，对于故障诊断和容错控制的发展具有重要意义。理论研究达到国际先进水平。