Published March 2012 | Version v1
Journal article

Chaos suppression on a class of uncertain nonlinear chaotic systems using an optimal H∞ adaptive PID controller

Creators

  • 1. Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood 36199-95161 (Iran, Islamic Republic of)

Description

Highlights: ► This paper proposes a powerful and flexible method for controlling a class of nonlinear chaotic systems. ► This method is incorporated with H-infinity tracking control scheme. ► In the core of proposed method, PSO algorithm is employed to obtaining an optimal performance. - Abstract: This paper introduces an optimal H∞ adaptive PID (OHAPID) control scheme for a class of nonlinear chaotic system in the presence system uncertainties and external disturbances. Based on Lyapunov stability theory, it is shown that the proposed control scheme can guarantee the stability robustness of closed-loop system with H∞ tracking performance. In the core of proposed controller, to achieve an optimal performance of OHAPID, the Particle Swarm Optimization (PSO) algorithm is utilized. To show the feasibility of proposed OHAPID controller, it is applied on the chaotic gyro system. Simulation results demonstrate that it has highly effective in providing an optimal performance.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2012.01.001

Additional details

Identifiers

DOI
10.1016/j.chaos.2012.01.001;
PII
S0960-0779(12)00015-X;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
45
Journal Issue
3
Journal Page Range
p. 351-357
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43076588
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; CHAOS THEORY; COMPUTERIZED SIMULATION; CONTROL THEORY; LYAPUNOV METHOD; NONLINEAR PROBLEMS; PERFORMANCE
Descriptors DEC
CALCULATION METHODS; MATHEMATICAL LOGIC; MATHEMATICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.