DC motor Analysis Based on Improvement of PID Coefficients Using PSO Algorithm for Educational Use

Kumru E., Serteller N. F. O.

25th International Conference on Interactive Collaborative Learning, ICL 2022, Vienna, Austria, 27 - 30 September 2022, vol.633 LNNS, pp.901-909, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 633 LNNS
  • Doi Number: 10.1007/978-3-031-26876-2_85
  • City: Vienna
  • Country: Austria
  • Page Numbers: pp.901-909
  • Keywords: Education, PID, PID tuning, PMDC motor, PSO
  • Marmara University Affiliated: Yes

Abstract

This paper explains mainly and plainly how to control the speed of a permanent magnet direct current (PMDC) motor with a PID control analysis at the educational level. While controlling, PMDC motor speed analysis has been made by changing the PID coefficients, parameters such as oscillation effect, maximum overshoot, rise time, and settling time have been examined in detail based. The most ideal state has been tried to be found by replacing PID coefficients. At the same time, PID tuning has been performed by using the particle swarm optimization (PSO) algorithm. PID coefficient correction has been performed in Matlab with some iterations and the subject has been examined from the perspective of comparing different combinations. In this way, it has been tried to contribute to the literature by observing the effect of the PSO algorithm on the PID tuning. It is thought that this study will guide the basics of automation and control projects in future studies on PMDC motor control characteristics.