Pengaturan Kecepatan Motor Induksi Tiga Phasa Dengan Direct Torque Control Berbasis Neuro Fuzzy

Yusuf, Yani Ikhsan (2015) Pengaturan Kecepatan Motor Induksi Tiga Phasa Dengan Direct Torque Control Berbasis Neuro Fuzzy. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Motor induksi tiga phasa memiliki model yang tidak linier sehingga di dalam pengaturan kecepatannnya relatif sulit. Dengan metode pengaturan motor induksi yang tepat dapat diperoleh kontroler motor induksi yang dapat menghasilkan performa yang baik. Metode Direct Torque Control merupakan metode vektor kontrol yang dapat mengatur torsi referensi motor induksi secara langsung. Dalam pengaplikasiannya apabila terjadi perubahan beban, metode tersebut tidak dapat mengikuti perubahan tersebut. Pada tugas akhir ini, digunakan kontroler cerdas Neuro Fuzzy supaya kecepatan aktual motor dapat mengikuti kecepatan referensi apabila terjadi perubahan beban. Hasil simulasi kontroler Neuro Fuzzy pada motor induksi menunjukkan bahwa dengan kontroler Neuro Fuzzy respon kecepatan motor dapat mengikuti kecepatan referensi. Pada kondisi tanpa beban diperoleh settling time sebesar 1,202 detik, rise time 0,9447 detik, overshoot sebesar 0,25% dan tidak ada error steady state. Pada perubahan beban langsung semakin besar nilai perubahan beban, nilai settling time semakin lama sekitar 0,4 sampai 0,7 detik. Pada perubahan beban gradual waktu settling time yang diperoleh setiap perubahan beban sama yaitu 1,6 detik. ================================================================================================= Three phase induction motor has a nonlinear model so that within the speed control is relatively difficult. With the induction motor control method is right can be obtained good performance. Direct torque control method is vector control method that can set the reference torque induction motor directly. In its application in the event of load changes, such methods are not able to follow these changes. In this final project use of intelligent neuro fuzzy controller so that the actual speed of the motor can follow the speed reference when the load changes. The simulation results of neuro fuzzy controller on induction motor showed that the neuro fuzzy controller response speed of the motor can follow the reference speed. In the no-load condition is obtained settling time 1.202 seconds, rise time 0.9447 seconds, overshoot 0.25% and no steady state error. In direct load changes, the greater value of the load changes, the value of settling time obtained the longer about 0.4 to 0.7 seconds. At gradual load changes, settling time is obtained every 1.6 seconds load changes.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.381 532 4 Yus p
Uncontrolled Keywords: Direct Torque Control, Neuro Fuzzy ,Motor induksi tiga phasa.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
Divisions: Faculty of Electrical Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 16 Aug 2018 04:33
Last Modified: 16 Aug 2018 04:33
URI: http://repository.its.ac.id/id/eprint/59395

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