Modeling and fuzzy FOPID controller tuned by PSO for pneumatic positioning system

Muftah, Mohamed Naji, Faudzi, Ahmad Athif Mohd, Sahlan, Shafishuhaza and Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X 2022. Modeling and fuzzy FOPID controller tuned by PSO for pneumatic positioning system. Energies 15 (10) , 3757. 10.3390/en15103757

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Abstract

A pneumatic cylinder system is believed to be extremely nonlinear and sensitive to nonlinearities, which makes it challenging to establish precise position control of the actuator. The current research is aimed at reducing the overshoot in the response of a double-acting pneumatic actuator, namely, the IPA positioning system’s reaction time. The pneumatic system was modeled using an autoregressive with exogenous input (ARX) model structure, and the control strategy was implemented using a fuzzy fractional order proportional integral derivative (fuzzy FOPID) employing the particle swarm optimization (PSO) algorithm. This approach was used to determine the optimal controller parameters. A comparison study has been conducted to prove the advantages of utilizing a PSO fuzzy FOPID controller over PSO fuzzy PID. The controller tuning algorithm was validated and tested using a pneumatic actuator system in both simulation and real environments. From the standpoint of time-domain performance metrics, such as rising time (tr), settling time (ts), and overshoot (OS%), the PSO fuzzy FOPID controller outperforms the PSO Fuzzy PID controller in terms of dynamic performance.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/
Publisher:	MDPI
ISSN:	1996-1073
Date of First Compliant Deposit:	24 May 2022
Date of Acceptance:	18 May 2022
Last Modified:	10 Feb 2024 02:10
URI:	https://orca.cardiff.ac.uk/id/eprint/150011

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