Metode algoritma Genetika dengan Sistem Fuzzy Logic untuk Penentuan Parameter Pengendali PID

Suprapto, Bhakti Yudho and Sariman, Sariman (2012) Metode algoritma Genetika dengan Sistem Fuzzy Logic untuk Penentuan Parameter Pengendali PID. Rekayasa Elektrika, 10 (1). pp. 32-38. ISSN 1412-4785


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Proportional-Integral-Derivative ( PID) represents the popular controller which is frequently used in industry and instrumentation equipments. Although in simple design procedure, tuning of PID parameters ( Kp, Ki And Kd) to get the optimal value is not easy and simple. Genetic Algorithm method with the Fuzzy Logic system is used to get the PID parameters with optimal performance result. Genetic Algorithm is a method that used to solve a problem of optimization based on selection and genetic evolution, while system of fuzzy logic is used to determine the genetic parameter like crossover probability and mutation. In this research, Genetic Algorithm with the Fuzzy Logic system is forming model of direct-current motor to get the parameters of PID controller based on value of mean square error ( MSE). This Examination yielded the stable response system with the value MSE gyrate 0.0027 until 0.0028 and steady state error gyrate 0.004 until 0.001.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions: 03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User: Dr. Bhakti Yudho Suprapto
Date Deposited: 03 Oct 2019 13:33
Last Modified: 03 Oct 2019 13:33

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