Real-coded genetic algorithm for parametric modelling of a TRMS
This paper present a novel and scrutinized parametric modeling of a laboratory scale helicopter, a twin rotor multi input multi output system (TRMS), by employing a real-coded genetic algorithm (GA) technique. The main goal of this work is to emphasise the potential benefits of this architecture for...
| 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/7126/ http://irep.iium.edu.my/7126/1/Siti_CEC_2009.pdf |
| _version_ | 1848776792700092416 |
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| author | Toha, Siti Fauziah Tokhi, Mohammad Osman |
| author_facet | Toha, Siti Fauziah Tokhi, Mohammad Osman |
| author_sort | Toha, Siti Fauziah |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper present a novel and scrutinized parametric modeling of a laboratory scale helicopter, a twin rotor multi input multi output system (TRMS), by employing a real-coded genetic algorithm (GA) technique. The main goal of this work is to emphasise the potential benefits of this architecture for real system identification. Instead of working on the conventional bit by bit operation, both the crossover and mutation operators are real-valued. The effectiveness of the proposed algorithm is demonstrated in comparison to a binary-coded GA in modelling the TRMS. A complete system identification procedure has been carried out, from experimental design to model validation using a laboratory-scale helicopter. In this case, the identified model is characterized by a fourth order linear ARMA structure which describes with very high precision the hovering motion of a TRMS. The TRMS can be perceived as a static test rig for an air vehicle with formidable control challenges. Therefore, an analysis of modeling of nonlinear aerodynamic function is needed and carried out in both time and frequency domains based on observed input and output data. Experimental results are obtained using a laboratory set-up system, confirming the viability and effectiveness of the proposed methodology. |
| first_indexed | 2025-11-14T14:35:43Z |
| format | Proceeding Paper |
| id | iium-7126 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:43Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-71262012-10-02T00:05:49Z http://irep.iium.edu.my/7126/ Real-coded genetic algorithm for parametric modelling of a TRMS Toha, Siti Fauziah Tokhi, Mohammad Osman T173.2 Technological change This paper present a novel and scrutinized parametric modeling of a laboratory scale helicopter, a twin rotor multi input multi output system (TRMS), by employing a real-coded genetic algorithm (GA) technique. The main goal of this work is to emphasise the potential benefits of this architecture for real system identification. Instead of working on the conventional bit by bit operation, both the crossover and mutation operators are real-valued. The effectiveness of the proposed algorithm is demonstrated in comparison to a binary-coded GA in modelling the TRMS. A complete system identification procedure has been carried out, from experimental design to model validation using a laboratory-scale helicopter. In this case, the identified model is characterized by a fourth order linear ARMA structure which describes with very high precision the hovering motion of a TRMS. The TRMS can be perceived as a static test rig for an air vehicle with formidable control challenges. Therefore, an analysis of modeling of nonlinear aerodynamic function is needed and carried out in both time and frequency domains based on observed input and output data. Experimental results are obtained using a laboratory set-up system, confirming the viability and effectiveness of the proposed methodology. 2009-05-29 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/7126/1/Siti_CEC_2009.pdf Toha, Siti Fauziah and Tokhi, Mohammad Osman (2009) Real-coded genetic algorithm for parametric modelling of a TRMS. In: IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May 2009, Trondheim, Norway. http://dx.doi.org/10.1109/CEC.2009.4983189 doi:10.1109/CEC.2009.4983189 |
| spellingShingle | T173.2 Technological change Toha, Siti Fauziah Tokhi, Mohammad Osman Real-coded genetic algorithm for parametric modelling of a TRMS |
| title | Real-coded genetic algorithm for parametric modelling of a TRMS |
| title_full | Real-coded genetic algorithm for parametric modelling of a TRMS |
| title_fullStr | Real-coded genetic algorithm for parametric modelling of a TRMS |
| title_full_unstemmed | Real-coded genetic algorithm for parametric modelling of a TRMS |
| title_short | Real-coded genetic algorithm for parametric modelling of a TRMS |
| title_sort | real-coded genetic algorithm for parametric modelling of a trms |
| topic | T173.2 Technological change |
| url | http://irep.iium.edu.my/7126/ http://irep.iium.edu.my/7126/ http://irep.iium.edu.my/7126/ http://irep.iium.edu.my/7126/1/Siti_CEC_2009.pdf |