Optimizing the Process Parameters of GMV Controller by PSO Tuning Method

Siti Fatimah, Sulaiman and Hazli Rafis, Abdul Rahim and Siti Halma, Johari and Khairuddin , Osman and Amar Faiz, Zainal Abidin and Mohd Fua'ad , Rahmat (2013) Optimizing the Process Parameters of GMV Controller by PSO Tuning Method. Australian Journal of Basic and Applied Sciences. pp. 44-50. ISSN 1991-8178

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System modeling is very important to develop a mathematical model that describes the dynamics of a system. This work proposes a modeling and designing a Generalized Minimum Variance (GMV) controller using self-tuning and Particle Swarm Optimization (PSO) tuning method for a hot air blower system. Parametric approach using AutoRegressive with Exogenous input (ARX) model structure is used to estimate the approximated model plant. The approximated plant model is then being estimated using System Identification approach. The results based on simulation using MATLAB shows that the GMV controller using PSO tuning method offers a reasonable tracking performances of the system’s output.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electronics and Computer Engineering > Department of Industrial Electronics
Date Deposited: 26 Feb 2014 01:32
Last Modified: 28 May 2015 04:17
URI: http://eprints.utem.edu.my/id/eprint/11433
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