Optimisation of sliding mode parameters using different algorithms to control the position of a linear DC motor

Habil, Monier, Anayi, Fatih ORCID: https://orcid.org/0000-0001-8408-7673, Xue, Yiqin and Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X 2024. Optimisation of sliding mode parameters using different algorithms to control the position of a linear DC motor. Presented at: International Conference on Advance Computing and Ingenious Technology in Engineering Science 2024, 30-31 December 2021. Proceedings of International Conference on Advance Computing and Ingenious Technology in Engineering Science. , vol.2816 (1) AIP, 10.1063/5.0179462

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Abstract

This study proposes a design of Sliding Mode Control (SMC) employed to control the position of a DC linear motor as this controller is insensitive to the existence of disturbance and uncertainty. In order to achieve a better performance, the optimal gains of the proposed design are optimised by the Bees Algorithm (BA), Teaching Learning-Based Optimization (TLBO), and Practical Swarm Optimisation (PSO) techniques. This is to reduce the chattering phenomena. This study is conducted using MATLAB/SIMULINK. Obtained results show that SMC based BA provides the best performance in terms of undershoot/ overshoot and settling time in comparison with the other two optimisation methods. The proposed SMC optimised by BA has also proven to be robust against system parametric uncertainties.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	AIP
ISBN:	9780735447899
Last Modified:	08 May 2024 10:45
URI:	https://orca.cardiff.ac.uk/id/eprint/168668

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