Tuning of PID controller using different optimization algorithms for industrial DC motor

Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X and Habil, Monier 2021. Tuning of PID controller using different optimization algorithms for industrial DC motor. Presented at: 1st International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 4-5 March 2021. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, pp. 756-759. 10.1109/ICACITE51222.2021.9404616

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Abstract

This paper investigates the application of different optimization techniques to tune the parameters of Proportional Integral Derivative control (PID). The investigated system in this research is the DC motor which extensively utilized in many engineering applications. The main aim of this work is to control the speed and position of the DC motor using PID controller tuned by different algorithms. The proposed algorithms that are used to find the optimal gains of the PID controller are Bees Algorithm (BA), Particle swarm optimization (PSO), and teaching learning-based optimization (TLBO). This research is carried out using the Simulink and Command window environments provided in MATLAB software. The simulation results demonstrate that the responses of DC motor obtained from applying the PID tuned by TLBO shows satisfactory control performance in terms of overshoot, rise time, and settling time.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781728177410
Last Modified:	10 Feb 2024 02:09
URI:	https://orca.cardiff.ac.uk/id/eprint/141308

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