Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform

This paper proposes the PSO-FOPID controller, which is a Fractional Order Proportional-Integral-Derivative (FOPID) controller tuned using particle swarm optimization with spreading factor algorithm for height position control of a scissor mechanism platform. The tuning process of five control gains...

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Main Authors: Norsahperi, N.M.H., Ahmad, Salmiah, Toha @ Tohara, Siti Fauziah, Abd Mutalib, Mohd Azri
Format: Article
Language:English
English
Published: Faculty of Mechanical Engineering, Belgrade University 2022
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Online Access:http://irep.iium.edu.my/96068/7/96068_Design%2C%20simulation%20and%20experiment%20of%20PSO-FOPID%20controller.pdf
http://irep.iium.edu.my/96068/13/96068_Design%2C%20Simulation%20and%20Experiment%20of%20PSO-FOPID_Scopus.pdf
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spelling my.iium.irep.960682022-02-23T03:12:13Z http://irep.iium.edu.my/96068/ Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform Norsahperi, N.M.H. Ahmad, Salmiah Toha @ Tohara, Siti Fauziah Abd Mutalib, Mohd Azri TJ170 Mechanics applied to machinery. Dynamics TJ181 Mechanical movements TJ212 Control engineering This paper proposes the PSO-FOPID controller, which is a Fractional Order Proportional-Integral-Derivative (FOPID) controller tuned using particle swarm optimization with spreading factor algorithm for height position control of a scissor mechanism platform. The tuning process of five control gains in the FOPID controller is technically challenging to achieve high position accuracy. In this study, this problem is addressed through the offline tuning method by using particle swarm optimization with the spreading factor algorithm to reduce the complexity in tuning the control gains. From the experimental study, it is found that the proposed controller can eliminate the steady-state error under the two input references with approximately 1.5% and 0.9% reductions of the overshoot and undershoot in the height position response as compared to its promising performances in simulations. It is envisaged that the PSOFOPID controller can be useful in designing effective height position control of a non-linear platform. Faculty of Mechanical Engineering, Belgrade University 2022-01-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/96068/7/96068_Design%2C%20simulation%20and%20experiment%20of%20PSO-FOPID%20controller.pdf application/pdf en http://irep.iium.edu.my/96068/13/96068_Design%2C%20Simulation%20and%20Experiment%20of%20PSO-FOPID_Scopus.pdf Norsahperi, N.M.H. and Ahmad, Salmiah and Toha @ Tohara, Siti Fauziah and Abd Mutalib, Mohd Azri (2022) Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform. FME Transactions, 50 (1). pp. 46-54. ISSN 1451-2092 E-ISSN 2406-128X https://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol50/1/5_nhm_norsahperi_et_al.pdf 10.5937/fme2201046N
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TJ170 Mechanics applied to machinery. Dynamics
TJ181 Mechanical movements
TJ212 Control engineering
spellingShingle TJ170 Mechanics applied to machinery. Dynamics
TJ181 Mechanical movements
TJ212 Control engineering
Norsahperi, N.M.H.
Ahmad, Salmiah
Toha @ Tohara, Siti Fauziah
Abd Mutalib, Mohd Azri
Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
description This paper proposes the PSO-FOPID controller, which is a Fractional Order Proportional-Integral-Derivative (FOPID) controller tuned using particle swarm optimization with spreading factor algorithm for height position control of a scissor mechanism platform. The tuning process of five control gains in the FOPID controller is technically challenging to achieve high position accuracy. In this study, this problem is addressed through the offline tuning method by using particle swarm optimization with the spreading factor algorithm to reduce the complexity in tuning the control gains. From the experimental study, it is found that the proposed controller can eliminate the steady-state error under the two input references with approximately 1.5% and 0.9% reductions of the overshoot and undershoot in the height position response as compared to its promising performances in simulations. It is envisaged that the PSOFOPID controller can be useful in designing effective height position control of a non-linear platform.
format Article
author Norsahperi, N.M.H.
Ahmad, Salmiah
Toha @ Tohara, Siti Fauziah
Abd Mutalib, Mohd Azri
author_facet Norsahperi, N.M.H.
Ahmad, Salmiah
Toha @ Tohara, Siti Fauziah
Abd Mutalib, Mohd Azri
author_sort Norsahperi, N.M.H.
title Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
title_short Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
title_full Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
title_fullStr Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
title_full_unstemmed Design, simulation and experiment of PSO-FOPID controller for height position control of a scissor mechanism platform
title_sort design, simulation and experiment of pso-fopid controller for height position control of a scissor mechanism platform
publisher Faculty of Mechanical Engineering, Belgrade University
publishDate 2022
url http://irep.iium.edu.my/96068/7/96068_Design%2C%20simulation%20and%20experiment%20of%20PSO-FOPID%20controller.pdf
http://irep.iium.edu.my/96068/13/96068_Design%2C%20Simulation%20and%20Experiment%20of%20PSO-FOPID_Scopus.pdf
http://irep.iium.edu.my/96068/
https://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol50/1/5_nhm_norsahperi_et_al.pdf
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score 13.160551