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基于自适应模糊状态观测器的非线性系统鲁棒故障检测 被引量:2

Robust Fault Detection Based on Adaptive-Fuzzy State Observers for Nonlinear Systems
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摘要 针对仿射非线性系统 ,采用自适应模糊系统进行非线性补偿 ,提出了一种基于自适应模糊状态观测器的鲁棒故障检测方法。为确保观测器对噪声干扰和系统参数不确定误差的鲁棒性 ,给出了闭环系统在有界噪声干扰和系统参数不确定误差下的稳定性定理 ,并进行了详尽的证明。 A robust fault detection scheme based on adaptive-fuzzy state observers for affine nonlinear systems is presented,and adaptive-fuzzy systems is adopted to repair nonlinear parts.To guarantee the robustness of observers under the external disturbance and the internal system parameter error,the stability theorem is proposed and proved in detail.The simulation results demonstrate the efficiency and robustness of the method for disturbance and system parameter uncertainty.
出处 《测控技术》 CSCD 2004年第9期20-22,共3页 Measurement & Control Technology
基金 国家自然科学基金资助项目 ( 60 1740 19) 清华大学智能技术与系统国家重点实验室基金资助项目
关键词 仿射非线性系统 鲁棒故障检测 适应模糊观测器 稳定性 affine nonlinear systems robust fault detection adaptive-fuzzy observers stability properties
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