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基于滑模观测器和模糊T-S建模的NSV故障诊断 被引量:1

Fault diagnosis for near space vehicle based on sliding mode observer and T-S fuzzy model
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摘要 提出了近空间飞行器的一种基于滑模观测器(SMO)的执行器故障诊断方法.首先根据近空间飞行器纵向模型的特点,运用模糊Takagi-Sugeno(T-S)方法进行建模.基于所得T-S模糊模型,考虑飞行器的执行器发生故障的情况,设计了一组滑模观测器,借助MATLAB的线性矩阵不等式(LMI)求解矩阵参数,利用滑模观测器与执行器的输出构造残差信号用于故障检测,同时对故障定位和估计作了进一步的研究,并应用李亚普诺夫理论证明了误差系统的稳定性.仿真结果表明,所提算法能有效地实现故障的检测与估计. An actuator fault diagnosis scheme is proposed for Near Space Vehicle(NSV) based on sliding mode observer(SMO).First of all,the T-S(Takagi-Sugeno) fuzzy approach is used for modeling of the nonlinear dynamics of NSV,then a set of SMO are designed based on the fuzzy T-S model to deal with the actuator fault detection and estimation problem for NSV.Secondly,the gain matrices of SMO are obtained by solving linear matrix inequalities(LMI),and the residual is defined as the norm of the output error between SMO and actual system to detect and estimate the fault.The stability of the error system is proved using Lyapunov theory.Finally,simulation results on the longitudinal model of NSV demonstrate that the proposed approach can detect and estimate various types of actuator fault effectively.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第S1期28-31,44,共5页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(90816023)
关键词 故障诊断 滑模观测器 近空间飞行器 T-S模糊建模 fault diagnosis sliding mode observer near space vehicle T-S fuzzy model
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参考文献9

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