Optimal parameter values of PID controller for DC motor based on modified particle swarm optimization with adaptive inertia weight

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.225383

Keywords:

tuning of PID, particle swarm optimization, DC motor, inertia weight functions

Abstract

A significant problem in the control field is the adjustment of PID controller parameters. Because of its high nonlinearity property, control of the DC motor system is difficult and mathematically repetitive. The particle swarm optimization PSO solution is a great optimization technique and a promising approach to address the problem of optimum PID controller results. In this paper, a modified particle swarm optimization PSO method with four inertia weight functions is suggested to find the global optimum parameters of the PID controller for speed and position control of the DC motor. Benchmark studies of inertia weight functions are described. Two scenarios have been suggested in order to modify PSO including the first scenario called M1-PSO and the second scenario called M2-PSO, as well as classical PSO algorithms. For the first scenario, the modification of the PSO was done based on changing the four inertia weight functions, social and personal acceleration coefficient, while in the second scenario, the four inertia weight functions have been changed but the social and personal acceleration coefficient stayed constant during the algorithm implementation. The comparison between the presented scenarios and traditional PID was carried out and satisfied simulation results have shown that the first scenario has rapid search speeds, and very effective and fast implementation compared to the second scenario and classical PSO and even improved PSO technique. Moreover, the proposed approach has a fast searching speed compared to classical PSO. However, it has been found that the classical PSO algorithm has a premature, inaccurate and local convergence process when solving complex optimization issues. The presented algorithm is proposed to increase the search speed of the original PSO.

Author Biography

Mohammed Obaid Mustafa, University of Mosul

PhD

Department of Electrical Engineering

College of Engineering

References

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Published

2021-02-26

How to Cite

Mustafa, M. O. (2021). Optimal parameter values of PID controller for DC motor based on modified particle swarm optimization with adaptive inertia weight. Eastern-European Journal of Enterprise Technologies, 1(2 (109), 35–45. https://doi.org/10.15587/1729-4061.2021.225383

Issue

Vol. 1 No. 2 (109) (2021): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2021 Mohammed Obaid Mustafa

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