Improved Performance Adaptive Control Under Standard Mrac Assumptions

Ioannis N. M. Papadakis, S. Thomopoulos
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引用次数: 0

Abstract

In this paper, an adaptive controller with improved transient and steady-state performance using parameter mismatch compensation and high-order tuning is presented. As in previous designs, the use of a properly designed signal, compensating for the effects of parameter mismatch on the output error, leads to "arbitrary" performance improvement. However, unlike previous designs based on first-order (classical) tuners, high-order tuning is necessary in order to avoid the effect of terms due to initial conditions on the output error. This constitutes a strong motivation for the use of high-order tuners in adaptive control which so far, were considered as more complicated alternatives to the classical first-order tuners. The proposed controller also provides robustness enhancement in the presence of bounded disturbances and/or a class of unmodeled dynamics or in the event of an adaptation switch-off end, as in classical model reference adaptive control, guarantees the exponential convergence of all errors to zero in the presence of sufficiently exciting reference inputs.
在标准Mrac假设下改进的性能自适应控制
本文提出了一种利用参数失配补偿和高阶整定来改善暂态和稳态性能的自适应控制器。在以前的设计中,使用适当设计的信号,补偿参数不匹配对输出误差的影响,导致“任意”性能改进。然而,与先前基于一阶(经典)调谐器的设计不同,为了避免初始条件对输出误差的影响,高阶调谐是必要的。这构成了在自适应控制中使用高阶调谐器的强烈动机,到目前为止,高阶调谐器被认为是经典一阶调谐器的更复杂的替代品。所提出的控制器在存在有界干扰和/或一类未建模的动态或在自适应关闭端的情况下也提供了鲁棒性增强,就像在经典模型参考自适应控制中一样,保证在存在足够激励的参考输入时所有误差的指数收敛到零。
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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