Dhidik Prastiyanto, - (2019) Simulasi Kontroler PID Tuning Menggunakan Logika Fuzzy dan Algoritma Genetika Sebagai Pengendali Kecepatan Motor DC. Jurnal Ilmiah Sentrum, 8 (2). pp. 186-196. ISSN 2503-0683

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Abstract

The majority of industrial control systems still use PID controller. Tuning of PID controller is important proses to applied PID controller. Optimization of PID controller(Kp. Ki and Kd) parameters is the key goal in industrial control systems. However, tuned the PID controller parameters by empirical method not optimum. This paper presents a fuzzy logic controller (self-tuning fuzzy PID) and genetic algorithm (GA based PID). Self- tuning fuzzy PID and GA based PID applied to simulation of a DC motor speed control. Several tests are carried out to investigate the performances of both controllers. Simulation results have demonstrated that the use of self-tuning fuzzy PID controller results in under Case D and Case E testing gives better performance with less overshoot. On the other hand, GA based PID controller has better performance under Case B and C testing.

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