M. Irfan
The University of Muhammadiyah Malang

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PID Designs Using DE and PSO Algorithms for Damping Oscillations in a DC Motor Speed Lailis Syafaah; Widianto Widianto; Ilham Pakaya; Diding Suhardi; M. Irfan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.577 KB) | DOI: 10.11591/eecsi.v4.1023

Abstract

In this paper, a design and a simulation of a PID controller are presented to control a DC motor speed. The design is proposed to increase a dynamic stability of the motor speed.  Changing the speed setpoint values may generate oscillations, thus the controller is required to maintain a system stability.  The PID controller is tuned using Differential Evolutionary (DE) and Particle Swarm Optimization (PSO) algorithms. Performance of both algorithms is compared by Integral Square Error (ISE) and rise time values. Experiments are performed by changing the speed setpoint values. In simulation results, the ISE  and the rise time values of the DE algorithm are slower than the PSO algorithm.