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Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation

Toha, Siti Fauziah and Abd Latiff, I. and Mohamad, M. and Tokhi, M Osman (2009) Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation. In: UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 25-27 March 2009, Cambridge.

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System identification in vibrating environments has been a matter of concern for researchers in many disciplines of science and engineering. In this paper, a sound approach for a Twin Rotor Multi-input Multi-Output System (TRMS) parametric modeling is proposed based on dynamic spread factor particle swarm optimization. Particle swarm optimization (PSO) is demonstrated as an efficient global search method for nonlinear complex systems without any a priory knowledge of the system structure. The proposed method formulates a modified inertia weight algorithm by using a dynamic spread factor (SF). The inertia weight plays an important role in terms of balancing both the global and local search. Thus, the usage of dynamic SF is proved experimentally to satisfy main issues of using basic PSO that are trapped in local optima and preservation of diversity. Results in both time and frequency domains portray a very good parametric model that mimic well the behavior of a TRMS. Validation tests clearly show the effectiveness of the algorithm considered in this work.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4680/7127 Print ISBN: 978-1-4244-3771-9
Uncontrolled Keywords: Parametric modelling , Spreading Factor Particle Swarm Optimisation , Twin Rotor Multi-Input Multi-Ooutput System
Subjects: T Technology > T Technology (General) > T173.2 Technological change
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Siti Fauziah Toha
Date Deposited: 15 Dec 2011 12:20
Last Modified: 02 Oct 2012 08:07
URI: http://irep.iium.edu.my/id/eprint/7127

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