Sand cat swarm optimization for controlling PID in DC motor

Sand cat swarm optimization for controlling PID in DC motor

DC motor
Metaheuristics
Proportional integral derivative
Sand cat swarm optimization
Swarm intelligence

In this article, the direct current (DC) motor control approach is presented using the sand cat swarm optimization (SCSO) method to obtain the best proportional integral derivative (PID) parameters. DC motors are popular equipment. In addition, DC motors are easy to apply. SCSO is a method that adopts the desert cat’s life in nature when searching for prey. This cat is able to detect low frequencies below 2 kHz and also has an extraordinary ability to dig for prey. This research was carried out using the MATLAB/Simulink application. To obtain the performance of the SCSO method, a comparison method was used, namely particle swarm optimization (PSO), gray wolf optimizer (GWO), whale optimization algorithm (WOA), and aquila optimizer (AO). From the results of the study, it was found that the settling time value and integral total weighted absolute value error (ITAE) value of the SCSO method were the best compared to other methods.

Widi Aribowo1, Ehab Saif Ghith2, Reza Rahmadian1, Mahendra Widyartono1, Ayusta Lukita Wardani1, Aditya Prapanca3, Nur Vidia Laksmi B.1

Journal homepage: http://telkomnika.uad.ac.id

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