Optimal Model Reference Control Scheme Design for Nonlinear Strict-Feedback Systems

In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is consi...

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Bibliographic Details
Main Authors: Musadaq Hadi, Hazem Ali
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2020-09-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_169175_ebb1072de5fdb06b2cd30f16939c5e9b.pdf
Description
Summary:In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.
ISSN:1681-6900
2412-0758