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非线性系统和非高斯随机系统的故障诊断和容错控制
其他题名Fault Diagnosis and Tolerant Control for Nonlinear Systems and Non-Gaussian Stochastic Systems
姚利娜
学位类型工学博士
导师王宏 ; 岳红
2006-05-15
学位授予单位中国科学院研究生院
学位授予地点中国科学院自动化研究所
学位专业控制理论与控制工程
关键词故障诊断 容错控制 非线性时滞系统 非高斯随机分布系统 奇异系统 协作系统 Fault Diagnosis Fault Tolerant Nonlinear Time-delayed Systems Non-gaussian Stochastic Singular Systems Collaborative Systems
摘要本文的主要工作和贡献如下: 1.非线性时滞系统的鲁棒故障诊断。对一类变时滞非线性系统提出了一种执行器鲁棒故障诊断算法,设计了固定参数的故障检测观测器和自适应故障诊断观测器,基于Lyapunov稳定性定理得出了非线性执行器故障的自适应调节律,并保证了故障检测和故障诊断的稳定性。 2.非线性时滞系统的集成容错控制。对一类变时滞非线性系统提出了一种集成容错控制方案,当故障发生后对系统施加一附加控制律,并对重组后的系统设计了非线性自适应迭代学习观测器,基于Lyapunov稳定性定理得出了故障的自适应诊断算法,同时通过附加控制律的调节实现系统的容错控制,并保证了故障诊断和容错控制的稳定性。 3.协作系统和序列连续系统的容错控制 对有两个子系统组成的协作系统提出了一种新的容错控制方案,当一个子系统出现故障,而本身不能自行修复故障时,用另一个无故障的子系统来补偿该故障对整个系统控制目标的影响,实现了协作系统的容错控制。并将该容错控制思想推广到了序列连续系统。 4.非高斯随机系统的故障诊断和容错控制。对有理平方根逼近的非高斯随机分布系统提出了一种基于非线性自适应观测器的诊断算法。利用诊断观测器的状态信息和故障估计信息进行控制器重组,使得故障情况下该随机分布系统的输出概率密度函数仍能跟踪给定的概率密度函数,实现了有理平方根逼近的非高斯随机分布系统的容错控制。 5.奇异Lipschitz非线性系统的故障诊断。对一类奇异Lipschitz非线性系统,提出了一种新的故障诊断算法,设计了正常的非线性自适应故障诊断观测器,在满足一定条件下得到了系统故障估计的自适应调节律,并证明了诊断观测误差系统的稳定性。 6.奇异线性随机分布系统的故障诊断和容错控制。对奇异线性随机分布系统,通过适当的坐标变换将该奇异随机分布系统变换成微分-代数随机分布系统,并提出了一种基于自适应观测器的故障诊断方法,利用诊断出的故障信息进行控制器重组,使得在故障情况下该奇异线性随机分布系统的输出概率密度函数仍能跟踪给定的概率密度函数。
其他摘要In this thesis, the main contributions can be summarized as follows: Robust Fault Diagnosis for a Class of Nonlinear Time-delayed Systems: A robust actuator fault diagnosis approach is developed for a class of nonlinear systems with time-varying delays. Both detection and diagnostic observers are established, where the Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the nonlinear actuator faults. This has led to stable observers for both fault detection and diagnosis. Integrated Fault Tolerant Control of a Class of Nonlinear Time-delayed Systems: An integrated fault tolerant control approach is proposed for a class of nonlinear systems with time-varying delays. An extra control law is added to the system after a fault has happened. A nonlinear adaptive iterative learning fault diagnosis observer is designed. The fault tolerant control is also obtained via the adaptive tuning of the extra control law. The stability of the fault diagnosis and tolerant control can be guaranteed. Fault Tolerant Control for Collaborative Systems and Sequential Continuous Systems: A new fault tolerant control method is proposed for a class of dynamic systems including two subsystems. When one subsystem, incapable of self-repairing, is subjected to faults, the other subsystem is used to accommodate faults and compensate the influences onto the total system, leading to a fault tolerant control of the whole system. This fault tolerant control approach has been generalized to sequential continuous Systems. Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems: A nonlinear adaptive observer-based fault diagnosis algorithm is proposed for non-Gaussian stochastic distribution systems based on the rational square-root B-spline model approximation. Through the controller reconfiguration, a good output PDF tracking can still be realized when fault occurs, leading to the fault tolerant control of the non-Gaussian stochastic distribution systems. Fault Diagnosis for a Class of Singular Lipschitz Nonlinear Systems: A new fault diagnosis algorithm is developed for a class of singular Lipschitz nonlinear systems. A regular nonlinear adaptive diagnostic observer is established, where the adaptive tuning rule for estimation of fault is obtained under certain conditions. The stability of the diagnostic observation error system is also proven. Fault Diagnosis and Tolerant Control for Singular Linear Stochastic Distribution Systems: Suitable coordinate conversion has been introduced to transform singular linear stochastic distribution systems into differential-algebraic stochastic distribution systems. A fault diagnosis approach is presented based on an adaptive observer. Through the controller reconfiguration using the fault estimation information, a good output PDF tracking for the pre-specified PDF can still be realized when fault occurs.
馆藏号XWLW968
其他标识符200318014602989
语种中文
文献类型学位论文
条目标识符http://ir.ia.ac.cn/handle/173211/5897
专题毕业生_博士学位论文
推荐引用方式
GB/T 7714
姚利娜. 非线性系统和非高斯随机系统的故障诊断和容错控制[D]. 中国科学院自动化研究所. 中国科学院研究生院,2006.
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