Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty
This paper presents a new method for tuning the weighing functions to design an H∞ controller. Based on a particle swarm optimization (PSO) algorithm the, weighting functions are tuned. The PSO algorithm is used to minimize the infinity norm of the transfer functions matrix of the nominal closed loo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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American-Eurasian Network for Scientific Information
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23308/ http://psasir.upm.edu.my/id/eprint/23308/1/Intelligently%20tuned%20weights%20based%20robust%20H%E2%88%9E%20controller%20design%20for%20pneumatic%20servo%20actuator%20system%20with%20parametric%20uncertainty.pdf |
| _version_ | 1848844721792745472 |
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| author | Ali, Hazem Ibrahim Mohd Noor, Samsul Bahari Bashi, Sinan Mahmod Marhaban, Mohammad Hamiruce |
| author_facet | Ali, Hazem Ibrahim Mohd Noor, Samsul Bahari Bashi, Sinan Mahmod Marhaban, Mohammad Hamiruce |
| author_sort | Ali, Hazem Ibrahim |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents a new method for tuning the weighing functions to design an H∞ controller. Based on a particle swarm optimization (PSO) algorithm the, weighting functions are tuned. The PSO algorithm is used to minimize the infinity norm of the transfer functions matrix of the nominal closed loop system to obtain the optimal parameters of the weighting function. This method is applied to a typical industrial pneumatic servo actuator controlled by a jet pipe valve. The pneumatic system nonlinearity and system parameters uncertainty are the main problems in the design of a desired controller for this plant. A linear model of the plant at certain operating point is derived and the structured (parametric) perturbations in the plant coeficients are taken into account. This method ensures an optimal robust stability and robust performance for the pneumatic servo actuator system. Simulation results are presented to verify the objectives of this method. |
| first_indexed | 2025-11-15T08:35:26Z |
| format | Article |
| id | upm-23308 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:35:26Z |
| publishDate | 2011 |
| publisher | American-Eurasian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-233082018-09-24T08:09:28Z http://psasir.upm.edu.my/id/eprint/23308/ Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty Ali, Hazem Ibrahim Mohd Noor, Samsul Bahari Bashi, Sinan Mahmod Marhaban, Mohammad Hamiruce This paper presents a new method for tuning the weighing functions to design an H∞ controller. Based on a particle swarm optimization (PSO) algorithm the, weighting functions are tuned. The PSO algorithm is used to minimize the infinity norm of the transfer functions matrix of the nominal closed loop system to obtain the optimal parameters of the weighting function. This method is applied to a typical industrial pneumatic servo actuator controlled by a jet pipe valve. The pneumatic system nonlinearity and system parameters uncertainty are the main problems in the design of a desired controller for this plant. A linear model of the plant at certain operating point is derived and the structured (parametric) perturbations in the plant coeficients are taken into account. This method ensures an optimal robust stability and robust performance for the pneumatic servo actuator system. Simulation results are presented to verify the objectives of this method. American-Eurasian Network for Scientific Information 2011 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/23308/1/Intelligently%20tuned%20weights%20based%20robust%20H%E2%88%9E%20controller%20design%20for%20pneumatic%20servo%20actuator%20system%20with%20parametric%20uncertainty.pdf Ali, Hazem Ibrahim and Mohd Noor, Samsul Bahari and Bashi, Sinan Mahmod and Marhaban, Mohammad Hamiruce (2011) Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty. Australian Journal of Basic and Applied Sciences, 5 (4). pp. 207-222. ISSN 1991-8178 http://www.ajbasweb.com/old/ajbas_april_2011.html |
| spellingShingle | Ali, Hazem Ibrahim Mohd Noor, Samsul Bahari Bashi, Sinan Mahmod Marhaban, Mohammad Hamiruce Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title | Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title_full | Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title_fullStr | Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title_full_unstemmed | Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title_short | Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| title_sort | intelligently tuned weights based robust h∞ controller design for pneumatic servo actuator system with parametric uncertainty |
| url | http://psasir.upm.edu.my/id/eprint/23308/ http://psasir.upm.edu.my/id/eprint/23308/ http://psasir.upm.edu.my/id/eprint/23308/1/Intelligently%20tuned%20weights%20based%20robust%20H%E2%88%9E%20controller%20design%20for%20pneumatic%20servo%20actuator%20system%20with%20parametric%20uncertainty.pdf |