OPTIMISASI KONTROL PID UNTUK MOTOR DC MAGNET PERMANEN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION

Muhammad Ruswandi Djalal, Rahmat Rahmat

Abstract


To maximize the performance of DC motors, the proper use of the controller is crucial. Design of Proportional Integral Derivative (PID) controller on dc motor has been done frequently. The use of PID controllers requires proper parameter setting to achieve optimal performance on the motor. Commonly used is the trial-error method, to determine the parameters of the PID controller, but the results obtained do not make the PID controller optimal and will actually damage the system. Therefore, in this research we will propose one of PID parameter tuning method, that is by using Particle Swarm Optimization (PSO), to optimize and determine the proper parameters of PID. PSO is one of the smart methods inspired by the behavior of particles that search for food sources in groups, this concept is adapted and applied into intelligent algorithms to solve optimization problems. From the results obtained the PSO method can well tune the parameters of PID, where for Kp 57.2409, ki = 23.7090, and kd = 9.3575. Response speed after PID receiver, resulting overshoot does not exist and settling time is very fast.


Keywords


PID, Particle Swarm Optimization, Settling Time, Trial Error

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References


M. R. Djalal, D. Ajiatmo, A. Imran, and I. Robandi, "Desain Optimal Kontroler PID Motor DC Menggunakan Cuckoo Search Algorithm," Prosiding SENTIA, 2015.

W. Liao, Y. Hu, and H. Wang, "Optimization of PID control for DC motor based on artificial bee colony algorithm," in Advanced Mechatronic Systems (ICAMechS), 2014 International Conference on, 2014, pp. 23-27.

D. Chen, K. Fang, and Q. Chen, "Application of genetic algorithm in PID parameters optimization," Microcomputer Information, vol. 23, pp. 35-36, 2007.

H. He and F. Qian, "The PID parameter tuning based on immune evolutionary algorithm," Microcomputer Information, vol. 27, pp. 1174-1176, 2007.

N. Katal and S. K. Singh, "Optimal Tuning of PID Controller for DC Motor using Bio-Inspired Algorithms," International Journal of Computer Applications, vol. 56, 2012.

B. Bhushan and M. Singh, "Adaptive control of DC motor using bacterial foraging algorithm," Applied Soft Computing, vol. 11, pp. 4913-4920, 2011.

A. Ahuja and S. K. Aggarwal, "Design of fractional order PID controller for DC motor using evolutionary optimization techniques," WSEAS transactions on system and control, vol. 9, pp. 171-182, 2014.


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