Hybrid Fuzzy Pid Kontroler Untuk Pengaturan Kecepatan Motor Induksi Tiga Fasa Dengan Beban Rem Magnetik

Mustopa, Asep Suryana (2015) Hybrid Fuzzy Pid Kontroler Untuk Pengaturan Kecepatan Motor Induksi Tiga Fasa Dengan Beban Rem Magnetik. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Suatu motor induksi bila diberi beban rem magnetik, maka torsi bebannya akan meningkat dan mengakibatkan kecepatan putaran motor tersebut menjadi turun. Agar kecepatan motor tetap konstan ketika diberikan beban, maka perlu diberikan kontroler yang mampu mengembalikan putaran nominalnya. Salah satu kontroler yang dapat menaikan performa motor induksi yaitu kontroler Hybrid Fuzzy PID. Hybrid Fuzzy PID adalah kontroler gabungan antaara kontroler Fuzzy dan kontroler PID. Untuk mendesain kontroler pertama harus didapatkan model matematika pant agar bisa menentukan parameter-parameter kontroler. Implementasi kontroler Hybrid Fuzzy PID menggunakan software Labview untuk proses kontrol dan simulasinya. Hasil implementasi kontroler didapatkan perbandingan %error steady state ketiga kontroler yaitu PID 0,003%, Fuzzy 0,057%, dan Hybrid 0,016%. Sedangkan settling time 5% masing masing kontroler yaitu PID 0,906 detik, Fuzzy 1,73 detik, dan Hybrid 0,624 detik. ======================================================================================================= An induction motor when given a magnetic brake load, then the load torque will be increase and result in the motor rotation speed will be down. In order for the motor speed remains constant when a given load, then it should be given a controller that is able to restore the nominal rotation. One of the controllers that can increase the performance of the induction motor is Hybrid Fuzzy PID controller. Hybrid Fuzzy PID controller is a combination of fuzzy controller and PID controller. To design the controller firstly must be obtained pant mathematical models to be able determine the parameters of the controller. Implementation of Hybrid Fuzzy PID controller using Labview software for process control and simulation. Results obtained ratio controller implementations %steady state error for each controllers are PID 0,003%, Fuzzy 0.057%, and 0.016% Hybrid. While the 5% settling time of each controllers are PID 0.906 seconds, Fuzzy 1.73 seconds, and Hybrid 0.624 seconds.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.313 6 Mus h
Uncontrolled Keywords: Kontroler Hybrid Fuzzy PID, Labview, Rem Magnetik
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control.
T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 27 Feb 2019 07:46
Last Modified: 27 Feb 2019 07:46
URI: http://repository.its.ac.id/id/eprint/62376

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