PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system

This research introduces a novel Cascade Fractional-Order Proportional-Integral-Derivative (CFOPID) controller to increase the performance of the Intelligent Pneumatic Actuator (IPA) positioning system. To represent the IPA system, a system identification criterion was used. The CFOPID controller is...

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Main Authors: Muftah, Mohamed Naji, Shouran, Mokhtar, Mohd. Faudzi, Ahmad Athif, Sahlan, Shafishuhaza
Format: Book Section
Published: Springer Science and Business Media Deutschland GmbH 2022
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Online Access:http://eprints.utm.my/id/eprint/100863/
http://dx.doi.org/10.1007/978-981-19-3923-5_37
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spelling my.utm.1008632023-05-18T03:42:22Z http://eprints.utm.my/id/eprint/100863/ PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system Muftah, Mohamed Naji Shouran, Mokhtar Mohd. Faudzi, Ahmad Athif Sahlan, Shafishuhaza TK Electrical engineering. Electronics Nuclear engineering This research introduces a novel Cascade Fractional-Order Proportional-Integral-Derivative (CFOPID) controller to increase the performance of the Intelligent Pneumatic Actuator (IPA) positioning system. To represent the IPA system, a system identification criterion was used. The CFOPID controller is based on combining Fractional Order PI and Fractional Order PD in a cascade arrangement. The Particle Swarm Optimization (PSO) algorithm is presented for optimizing the gains of the CFOPID controller by reducing the Integral of Square Error (ISE) objective function in order to achieve to best possible performance of the suggested control scheme. The proposed controller’s superiority is demonstrated by comparing the obtained results with those obtained from employing the classical PID and FOPID based PSO. The simulation findings indicate that the CFOPID controller outperforms the FOPID and PID controllers in terms of transient response and error minimization. Springer Science and Business Media Deutschland GmbH 2022 Book Section PeerReviewed Muftah, Mohamed Naji and Shouran, Mokhtar and Mohd. Faudzi, Ahmad Athif and Sahlan, Shafishuhaza (2022) PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system. In: Control, Instrumentation and Mechatronics: Theory and Practice. Lecture Notes in Electrical Engineering, 921 (NA). Springer Science and Business Media Deutschland GmbH, Singapore, pp. 429-440. ISBN 978-981193922-8 http://dx.doi.org/10.1007/978-981-19-3923-5_37 DOI:10.1007/978-981-19-3923-5_37
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muftah, Mohamed Naji
Shouran, Mokhtar
Mohd. Faudzi, Ahmad Athif
Sahlan, Shafishuhaza
PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
description This research introduces a novel Cascade Fractional-Order Proportional-Integral-Derivative (CFOPID) controller to increase the performance of the Intelligent Pneumatic Actuator (IPA) positioning system. To represent the IPA system, a system identification criterion was used. The CFOPID controller is based on combining Fractional Order PI and Fractional Order PD in a cascade arrangement. The Particle Swarm Optimization (PSO) algorithm is presented for optimizing the gains of the CFOPID controller by reducing the Integral of Square Error (ISE) objective function in order to achieve to best possible performance of the suggested control scheme. The proposed controller’s superiority is demonstrated by comparing the obtained results with those obtained from employing the classical PID and FOPID based PSO. The simulation findings indicate that the CFOPID controller outperforms the FOPID and PID controllers in terms of transient response and error minimization.
format Book Section
author Muftah, Mohamed Naji
Shouran, Mokhtar
Mohd. Faudzi, Ahmad Athif
Sahlan, Shafishuhaza
author_facet Muftah, Mohamed Naji
Shouran, Mokhtar
Mohd. Faudzi, Ahmad Athif
Sahlan, Shafishuhaza
author_sort Muftah, Mohamed Naji
title PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
title_short PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
title_full PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
title_fullStr PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
title_full_unstemmed PSO tuned cascade of fractional order PI - fractional order PD for Pneumatic positioning system
title_sort pso tuned cascade of fractional order pi - fractional order pd for pneumatic positioning system
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://eprints.utm.my/id/eprint/100863/
http://dx.doi.org/10.1007/978-981-19-3923-5_37
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score 13.1944895