IIUM Repository

Robust H-infinity controller synthesis using multi-objectives differential evolution algorithm (MODE) for two-mass-spring system

Tijani, I. B. and Akmeliawati, Rini and Legowo, Ari and Iwan, Mahmud and Abdul Muthalif, Asan Ghani (2011) Robust H-infinity controller synthesis using multi-objectives differential evolution algorithm (MODE) for two-mass-spring system. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 19 - 21 April 2011, Kuala Lumpur, Malaysia.

[img] PDF (Robust H-infinity controller synthesis using multi-objectives differential evolution algorithm (MODE) for two-mass-spring system) - Published Version
Restricted to Repository staff only

Download (517kB) | Request a copy

Abstract

One of the major problems associated with H-infinity controller design is the challenges of weighting function parameters’ tuning. For a given control problem, it is requires to select appropriate weighting function parameters to satisfy both the stability requirement and time domain specifications. The conflicting nature of these objectives has made such design exercise a tedious endeavor. In this study, the optimal-tuning of the Hinfinity controller parameters using multi-objective differential evolution (MODE) technique is proposed, and apply for control of a two-mass-spring system which represents a typical benchmark robust control problem. The performance of the resulting robust controller is evaluated both on the nominal plant and perturbed plants with parameter variation. The simulation results indicate a good compromise between the robustness and time domain performance.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5806/5365 ISBN: 978-1-4577-0003-3 (P) DOI: 10.1109/ICMSAO.2011.5775610
Uncontrolled Keywords: Control problems; Differential evolution algorithms; H-infinity controller; Multi objective; Multi-objective differential evolutions; Parameter variation; Robust control problems; Robust controllers; Simulation result; Stability requirements; Time domain; Time-domain specifications; Two-mass-spring; Weighting functions Engineering controlled terms: Evolutionary algorithms; Optimization; Robust control; Time domain analysis Engineering main heading: Controllers
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 10 Nov 2011 13:09
Last Modified: 25 Jan 2012 08:14
URI: http://irep.iium.edu.my/id/eprint/5365

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year