IIUM Repository (IREP)

Robust state feedback control design via PSO-based constrained optimisation

Solihin, Mahmud I. and Akmeliawati, Rini and Ismaila B., Tijani and Legowo, Ari (2011) Robust state feedback control design via PSO-based constrained optimisation. Control and Intelligent Systems, 39 (3). pp. 168-178. ISSN 1480-1752

[img] PDF (Robust state feedback control design via PSO-based constrained optimisation) - Published Version
Restricted to Repository staff only

Download (2MB) | Request a copy

Abstract

Computational intelligence has been successfully applied to many engineering applications including control engineering problems. In this paper, a robust state feedback control design using particle swarm optimizer based constrained optimization is proposed. The feedback controller is optimized based on state space model of the plant with structured uncertainty such that the closed-loop system would have maximum stability radius. A wedge region is assigned as a constraint to locate the desired closed-loop poles, which correspond to time-domain control system performance. The proposed controller design is applied to anti-swing control for a gantry crane system. The experimental result is shown, and comparison with that of conventional linear quadratic regulator based controller and H∞ loop shaping controller are made. The proposed method achieves a satisfactory robust performance based on the structured singular value analysis and the experimental results.

Item Type: Article (Journal)
Additional Information: 5806/2516
Uncontrolled Keywords: Robust state feedback controller, particle swarm optimization, constrained optimization, stability radius, anti-swing, gantry crane
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 14 Sep 2011 09:26
Last Modified: 29 Feb 2012 11:24
URI: http://irep.iium.edu.my/id/eprint/2516

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year