基于非二次李雅普诺夫函数的模型参考自适应控制的新自适应律

M. Rao, H. Hassan
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引用次数: 13

摘要

在模型参考自适应控制(MRAC)方案的设计中,基于李雅普诺夫稳定性理论建立了自适应律。在过去的几十年里,使用二次Lyapunov函数(QLF)一直是一种常见的做法。在此基础上,利用一种新的非二次Lyapunov函数(NQLF),提出了一种新的MRAC自适应律。这些新定律与使用QLF开发的早期自适应定律具有保证整个系统稳定性的相同优势。除此之外,它们还有一个改进性能的额外优势:事实上,NQLF的使用改进了系统输出误差信号收敛到零。最后,给出了仿真结果来支持本文的论点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New adaptive laws for model reference adaptive control using a non-quadratic Lyapunov function
In the design of model reference adaptive control (MRAC) schemes, adaptive laws have been developed based on Lyapunov stability theory. Over the past few decades, it has been a common practice to use quadratic Lyapunov functions (QLF). In contrast to such development, using a new nonquadratic Lyapunov function (NQLF), this paper presents new adaptive laws for the MRAC. These new laws have the same advantage of assurance of stability of the overall system, as the earlier adaptive laws developed using the QLF. Over and above, they have an additional advantage of improved performance: in fact, the use of NQLF improved the system output error signal converging to zero. Finally, this paper also presents simulation results supporting the arguments.
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