首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering >Fault-tolerant control for a near space vehicle with a stuck actuator fault based on a Takagi–Sugeno fuzzy model
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Fault-tolerant control for a near space vehicle with a stuck actuator fault based on a Takagi–Sugeno fuzzy model

机译:基于Takagi–Sugeno模糊模型的执行器故障卡死的近太空飞行器的容错控制

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摘要

Based on both adaptive and fuzzy control techniques, this paper proposes a fault-tolerant control (FTC) approach for near space vehicle (NSV) re-entry attitude dynamics with a stuck actuator fault. A Takagi–Sugeno fuzzy model is used to describe complex NSV attitude dynamics. The principle of this FTC approach is to design an iterative learning observer, which is used to estimate the system state and produce control input adjustment and then to reconfigure the control law to compensate for the effect of the stuck actuator. The FTC scheme ensures that the NSV output dynamics asymptotically track that of a reference model under both fault-free conditions and with a stuck actuator. The boundedness of the error dynamics is analysed using the Lyapunov stability theory. Finally, simulation results are given to illustrate the effectiveness and potential of the proposed FTC technique.
机译:基于自适应和模糊控制技术,本文提出了一种在执行器故障卡住的情况下,用于近太空飞行器(NSV)重入姿态动力学的容错控制(FTC)方法。 Takagi-Sugeno模糊模型用于描述复杂的NSV姿态动力学。这种FTC方法的原理是设计一个迭代学习观察器,该观察器用于估计系统状态并产生控制输入调整,然后重新配置控制律以补偿执行器卡住的影响。 FTC方案可确保在无故障条件和执行器卡住的情况下,NSV输出动态渐近跟踪参考模型的动态。利用李雅普诺夫稳定性理论分析了误差动力学的有界性。最后,给出了仿真结果以说明所提出的FTC技术的有效性和潜力。

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