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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...

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Huvudupphovsmän: Ali, Hazem Ibrahim, Mohd Noor, Samsul Bahari, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce
Materialtyp: Artikel
Språk:English
Publicerad: American-Eurasian Network for Scientific Information 2011
Länkar: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
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id oai:psasir.upm.edu.my:23308
record_format eprints
spelling oai:psasir.upm.edu.my:23308 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
institution UPM IR
collection UPM IR
language English
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.
format Article
author Ali, Hazem Ibrahim
Mohd Noor, Samsul Bahari
Bashi, Sinan Mahmod
Marhaban, Mohammad Hamiruce
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
author_facet Ali, Hazem Ibrahim
Mohd Noor, Samsul Bahari
Bashi, Sinan Mahmod
Marhaban, Mohammad Hamiruce
author_sort Ali, Hazem Ibrahim
title 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_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_sort intelligently tuned weights based robust h∞ controller design for pneumatic servo actuator system with parametric uncertainty
publisher American-Eurasian Network for Scientific Information
publishDate 2011
url 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_ 1819294651222327296
score 13.4562235

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