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Design of combined robust controller for a pneumatic servo actuator system with uncertainty

In this paper the position control design of a pneumatic servo actuator system using a combined H-inf /QFT technique is presented. First, an H-inf controller is designed to assure robust stability for the system. Particle swarm optimization (PSO) algorithm is used to tune the weighting functions. Th...

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Hauptverfasser: Mohd Noor, Samsul Bahari, Ali, Hazem Ibrahim, Marhaban, Mohammad Hamiruce
Format: Artikel
Sprache:English
Veröffentlicht: Academic Journals 2011
Online Zugang:http://psasir.upm.edu.my/id/eprint/23307/1/23307.pdf
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spelling oai:psasir.upm.edu.my:23307 http://psasir.upm.edu.my/id/eprint/23307/ Design of combined robust controller for a pneumatic servo actuator system with uncertainty Mohd Noor, Samsul Bahari Ali, Hazem Ibrahim Marhaban, Mohammad Hamiruce In this paper the position control design of a pneumatic servo actuator system using a combined H-inf /QFT technique is presented. First, an H-inf controller is designed to assure robust stability for the system. Particle swarm optimization (PSO) algorithm is used to tune the weighting functions. This method is used to find the optimal values of weighting functions parameters that lead to obtain an optimal H-inf-controller by minimizing the infinity norm of the transfer function of the nominal closed loop system. The quantitative feedback theory (QFT) is used to enhance the closed loop system performance. A multiplicative unstructured model extracted from the parametric uncertainty is used for control design. Finally, the simulation results are presented and compared with previous work. Academic Journals 2011 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/23307/1/23307.pdf Mohd Noor, Samsul Bahari and Ali, Hazem Ibrahim and Marhaban, Mohammad Hamiruce (2011) Design of combined robust controller for a pneumatic servo actuator system with uncertainty. Scientific Research and Essays, 6 (4). art. no. 12A16B424199. pp. 949-965. ISSN 1992-2248 https://academicjournals.org/journal/SRE/article-abstract/12A16B424199 10.5897/SRE10.1081
institution UPM IR
collection UPM IR
language English
description In this paper the position control design of a pneumatic servo actuator system using a combined H-inf /QFT technique is presented. First, an H-inf controller is designed to assure robust stability for the system. Particle swarm optimization (PSO) algorithm is used to tune the weighting functions. This method is used to find the optimal values of weighting functions parameters that lead to obtain an optimal H-inf-controller by minimizing the infinity norm of the transfer function of the nominal closed loop system. The quantitative feedback theory (QFT) is used to enhance the closed loop system performance. A multiplicative unstructured model extracted from the parametric uncertainty is used for control design. Finally, the simulation results are presented and compared with previous work.
format Article
author Mohd Noor, Samsul Bahari
Ali, Hazem Ibrahim
Marhaban, Mohammad Hamiruce
spellingShingle Mohd Noor, Samsul Bahari
Ali, Hazem Ibrahim
Marhaban, Mohammad Hamiruce
Design of combined robust controller for a pneumatic servo actuator system with uncertainty
author_facet Mohd Noor, Samsul Bahari
Ali, Hazem Ibrahim
Marhaban, Mohammad Hamiruce
author_sort Mohd Noor, Samsul Bahari
title Design of combined robust controller for a pneumatic servo actuator system with uncertainty
title_short Design of combined robust controller for a pneumatic servo actuator system with uncertainty
title_full Design of combined robust controller for a pneumatic servo actuator system with uncertainty
title_fullStr Design of combined robust controller for a pneumatic servo actuator system with uncertainty
title_full_unstemmed Design of combined robust controller for a pneumatic servo actuator system with uncertainty
title_sort design of combined robust controller for a pneumatic servo actuator system with uncertainty
publisher Academic Journals
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23307/1/23307.pdf
_version_ 1819294651125858304
score 13.4562235

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