Adaptive Fault-Tolerant Control of Uncertain Euler-Lagrange Systems With Time-Varying Actuator Faults

Pritesh Patel, S. Roy, S. Bhasin
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Abstract

In this paper, the command tracking problem for uncertain Euler-Lagrange (EL) systems with multiple partial loss of effectiveness (PLOE) actuator faults is considered. Compared to the existing fault-tolerant controllers for Euler-Lagrange systems, the proposed adaptive controller accounts for parametric uncertainties in both the system parameters and multiple time-varying actuator fault parameters. The closed-loop fault-tolerant system is treated as a switched dynamical system, and a switched system stability is established using multiple Lyapunov functions. It is shown that all signals are bounded in each sub-interval and at the switching instances, and asymptotic tracking can be obtained for a finite number of fault occurrences. Finally, a simulation example on a robotic manipulator is presented to show the effectiveness of the proposed method.
具有时变执行器故障的不确定欧拉-拉格朗日系统的自适应容错控制
研究了具有多个执行器部分有效性损失(PLOE)故障的不确定Euler-Lagrange (EL)系统的命令跟踪问题。与现有的欧拉-拉格朗日系统容错控制器相比,该自适应控制器既考虑了系统参数的不确定性,也考虑了执行器故障参数的多时变。将闭环容错系统视为一个切换动态系统,并利用多个李雅普诺夫函数建立了切换系统的稳定性。结果表明,在每个子区间和切换实例处,所有信号都是有界的,并且对于有限数量的故障可以得到渐近跟踪。最后,以机器人为例进行了仿真,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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