Chaos synchronization of nonlinear gyros using self-learning PID control approach

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/106726

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106726

Title:	Chaos synchronization of nonlinear gyros using self-learning PID control approach
Authors:	蔡章仁;Hsu, Chun-Fei;Tsai, Jang-Zern;Chiu, Chien-Jung
Contributors:	資訊電機學院電機工程學系
Keywords:	Adaptive control;Chaos synchronization;PID control;Self learning
Date:	2012-01-01
Issue Date:	2026-04-23 13:38:44 (UTC+8)
Publisher:	Elsevier BV;Elsevier B.V
Abstract:	摘要： Since chaotic systems are important nonlinear deterministic systems that display complex, noisy-like and unpredictable behavior, synchronizing chaotic systems has become an important issue in the engineering community. Due to the proportional-integral-derivative (PID) controller has a simple architecture and easily designed, it was widely used in the industrial applications. However, the traditional PID controller usually needs some manual retuning before being used to practically application. To tackle this problem, this paper proposes a self-learning PID control (SLPIDC) system which is composed of a PID controller and a fuzzy compensator. The PID controller which is used to online approximate an ideal controller is the main controller. The controller gain factors of the PID controller can automatically tune based on the gradient descent method. The fuzzy compensator is designed to dispel the approximation error between the ideal controller and PID controller upon the system stability in the Lyapunov sense. From the simulation results, it is verified that the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed SLPIDC scheme without the chattering phenomena in the control effort after the controller parameters learning. 出版者： Elsevier B.V 出版日期： 2012 出處： Applied soft computing, 2012, Vol.12 (1), p.430-439 版權： 2011 Elsevier B.V. 識別號： ISSN: 1568-4946 識別號： EISSN: 1872-9681 識別號： DOI: 10.1016/j.asoc.2011.08.027
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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