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

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

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...

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Main Authors: Toha, Siti Fauziah, Abd Latiff, I., Mohamad, M., Tokhi, M Osman
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
T173.2 Technological change
Online Access:http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/1/Siti_UKSIM_2009.pdf
id iium-7127
recordtype eprints
spelling iium-71272012-10-02T00:07:01Z http://irep.iium.edu.my/7127/ Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation Toha, Siti Fauziah Abd Latiff, I. Mohamad, M. Tokhi, M Osman T173.2 Technological change 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. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7127/1/Siti_UKSIM_2009.pdf 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. http://dx.doi.org/10.1109/UKSIM.2009.109 doi:10.1109/UKSIM.2009.109
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T173.2 Technological change
spellingShingle T173.2 Technological change
Toha, Siti Fauziah
Abd Latiff, I.
Mohamad, M.
Tokhi, M Osman
Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
description 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.
format Conference or Workshop Item
author Toha, Siti Fauziah
Abd Latiff, I.
Mohamad, M.
Tokhi, M Osman
author_facet Toha, Siti Fauziah
Abd Latiff, I.
Mohamad, M.
Tokhi, M Osman
author_sort Toha, Siti Fauziah
title Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
title_short Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
title_full Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
title_fullStr Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
title_full_unstemmed Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
title_sort parametric modelling of a trms using dynamic spread factor particle swarm optimisation
publishDate 2009
url http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/
http://irep.iium.edu.my/7127/1/Siti_UKSIM_2009.pdf
first_indexed 2023-09-18T20:16:24Z
last_indexed 2023-09-18T20:16:24Z
_version_ 1777407817101082624

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