A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation
A computationally-efficient systematic procedure to design an Optimal Type-2 Fuzzy Logic Controller (OT2FLC) is proposed. The main scheme is to optimize the gains of the controller using Particle Swarm Optimization (PSO), then optimize only two parameters per type-2 membership function using Genetic...
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ISA - Instrumentation, Systems, and Automation Society
2014
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my.utp.eprints.311422022-03-25T09:01:28Z A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation Fayek, H.M. Elamvazuthi, I. Perumal, N. Venkatesh, B. A computationally-efficient systematic procedure to design an Optimal Type-2 Fuzzy Logic Controller (OT2FLC) is proposed. The main scheme is to optimize the gains of the controller using Particle Swarm Optimization (PSO), then optimize only two parameters per type-2 membership function using Genetic Algorithm (GA). The proposed OT2FLC was implemented in real-time to control the position of a DC servomotor, which is part of a robotic arm. The performance judgments were carried out based on the Integral Absolute Error (IAE), as well as the computational cost. Various type-2 defuzzification methods were investigated in real-time. A comparative analysis with an Optimal Type-1 Fuzzy Logic Controller (OT1FLC) and a PI controller, demonstrated OT2FLCs superiority; which is evident in handling uncertainty and imprecision induced in the system by means of noise and disturbances. © 2014 ISA. Published by Elsevier Ltd. All rights reserved. ISA - Instrumentation, Systems, and Automation Society 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908118246&doi=10.1016%2fj.isatra.2014.06.001&partnerID=40&md5=f1a42f207ee2520dd84ba1ed8ccdd3a2 Fayek, H.M. and Elamvazuthi, I. and Perumal, N. and Venkatesh, B. (2014) A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation. ISA Transactions, 53 (5). pp. 1583-1591. http://eprints.utp.edu.my/31142/ |
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A computationally-efficient systematic procedure to design an Optimal Type-2 Fuzzy Logic Controller (OT2FLC) is proposed. The main scheme is to optimize the gains of the controller using Particle Swarm Optimization (PSO), then optimize only two parameters per type-2 membership function using Genetic Algorithm (GA). The proposed OT2FLC was implemented in real-time to control the position of a DC servomotor, which is part of a robotic arm. The performance judgments were carried out based on the Integral Absolute Error (IAE), as well as the computational cost. Various type-2 defuzzification methods were investigated in real-time. A comparative analysis with an Optimal Type-1 Fuzzy Logic Controller (OT1FLC) and a PI controller, demonstrated OT2FLCs superiority; which is evident in handling uncertainty and imprecision induced in the system by means of noise and disturbances. © 2014 ISA. Published by Elsevier Ltd. All rights reserved. |
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Fayek, H.M. Elamvazuthi, I. Perumal, N. Venkatesh, B. |
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Fayek, H.M. Elamvazuthi, I. Perumal, N. Venkatesh, B. A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
author_facet |
Fayek, H.M. Elamvazuthi, I. Perumal, N. Venkatesh, B. |
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Fayek, H.M. |
title |
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
title_short |
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
title_full |
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
title_fullStr |
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
title_full_unstemmed |
A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation |
title_sort |
controller based on optimal type-2 fuzzy logic: systematic design, optimization and real-time implementation |
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ISA - Instrumentation, Systems, and Automation Society |
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2014 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908118246&doi=10.1016%2fj.isatra.2014.06.001&partnerID=40&md5=f1a42f207ee2520dd84ba1ed8ccdd3a2 http://eprints.utp.edu.my/31142/ |
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