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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7127/1/Siti_UKSIM_2009.pdf |
| _version_ | 1796875471575580672 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T22:39:13Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:7127 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:39:13Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T173.2 Technological change |
| url | http://irep.iium.edu.my/7127/1/Siti_UKSIM_2009.pdf |
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