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ANALYSIS OF SLIDING MODE OBSERVERS USING A NOVEL TIME-AVERAGED LYAPUNOV FUNCTION

机译:基于新型时间平均Lyapunov函数的滑模观测器分析

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摘要

Sliding mode observers are known to be robust to model uncertainties. However, sliding mode observers have not been well analyzed in the presence of Gaussian disturbances and no previous results exist for a pure sliding mode observer in the presence of sensor noise. A traditional quadratic Lyapunov function that is used to determine the stability of sliding mode observers, fails for noisy systems. Hence this paper introduces a novel Lyapunov candidate function termed the time averaged Lyapunov (TAL) function to analyze the stability of noisy systems. The TAL specifically examines the effect of the Gaussian noise on a sliding mode observer. Using this TAL function, the paper demonstrates that Gaussian sensor noise does not affect the stability or chatter of the observer. Further, the covariance of the noise only affects the convergence rate of the observer. Simulation results are reported to demonstrate the effectiveness of the proposed approach on a Linear system.
机译:已知滑动模式观测器对于建模不确定性具有鲁棒性。但是,在存在高斯扰动的情况下,没有对滑模观察器进行很好的分析,并且在存在传感器噪声的情况下,对于纯滑模观察器也没有以前的结果。用于确定滑模观测器稳定性的传统二次Lyapunov函数对嘈杂的系统无效。因此,本文介绍了一种新颖的Lyapunov候选函数(称为时间平均Lyapunov(TAL)函数)来分析噪声系统的稳定性。 TAL特别检查了高斯噪声对滑模观测器的影响。使用此TAL函数,本文证明了高斯传感器的噪声不会影响观察者的稳定性或颤动。此外,噪声的协方差仅影响观察者的收敛速度。仿真结果被报道以证明所提出的方法在线性系统上的有效性。

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