Modern Optimization Techniques Based PID Controller Tuning for the Speed Control of a DC Motor

Modern Optimization Techniques Based PID Controller Tuning for the Speed Control of a DC Motor

Subrata Pandey

Computational Intelligence and Machine Learning . 2023 October; 4(2): 27-32. Published online October 2023

doi.org/10.36647/CIML/04.02.A004

Abstract : In this paper, the optimal configuration of the Proportional Integral Derivative (PID) controller for the speed control of a DC motor are determined and compared using five optimization algorithms. The five optimization algorithms are respectively Ant Lion Optimization (ALO), Grey Wolf Optimizer (GWO), Moth-Flame Optimization (MFO), Multi-Verse Optimization (MVO) and Salp Swarm Optimization (SSO). The objective function uses The Integral of Time multiplied by Absolute Error (ITAE) as the performance index. A comparison of all these methods is done using the following step response parameters - steady-state error, settling time, maximum overshoot and rise time. ALO performed best among all the optimization algorithms.

Keyword : Ant Lion Optimization (ALO), DC Motor, Moth Flame Optimization (MFO), PID tuning, Salp Swarm Algorithm (SSA).