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Erschienen in:
Tracking Control for Unknown Nonlinear System Based on Augmented Matrix Algorithm Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Improving Transient Performance of Modified Model Reference Adaptive Control

verfasst von : Jun Yang, Yafei Liu, Jing Na, Guanbin Gao

Erschienen in: Innovative Techniques and Applications of Modelling, Identification and Control

Verlag: Springer Singapore

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Abstract

This paper provides a novel method to improve the transient performance of the model reference adaptive control (MRAC) system. In this proposed framework, a new compensator constructed using the known dynamics is employed to reshape the reference model. Then to retain the closed-loop system stability, a modified adaptive law is provided to diminish the disparity between the modified reference model and the original reference model. Through this modification, the norm bound of the tracking error can be reduced via rigorous theoretical analysis. A wing-rock aircraft is used as the simulation example to verify the effectiveness of the proposed control strategy. It is shown in simulations that the high-frequency components in the tracking error and control signals can be diminished, and the improved transient response of the proposed control can be achieved in comparison to the standard MRAC.

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Vorheriges Kapitel Multi-switching Master–Slave Synchronization of Non-identical Chaotic Systems
Nächstes Kapitel A Simulation Study of PEMFC Flow Channels Using a New Hybrid Method
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Metadaten
Titel
Improving Transient Performance of Modified Model Reference Adaptive Control
verfasst von
Jun Yang
Yafei Liu
Jing Na
Guanbin Gao
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Innovative Techniques and Applications of Modelling, Identification and Control

Print ISBN: 978-981-10-7211-6

Electronic ISBN: 978-981-10-7212-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-7212-3_21

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