NUR AISAH, SITI (2013) PENGENDALIAN KECEPATAN MOTOR DC BERBASIS FUZZY ADAPTIF DENGAN ALGORITMA FUZZY MODEL REFERENCE LEARNING CONTROL (FMRLC). S1 thesis, Universitas Sultan Ageng Tirtayasa.
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Pengendalian kecepatan motor DC Berbasis Fuzzy Adaftif dengan Algoritma Fuzzy model Reference Learning Control.pdf - Published Version Restricted to Registered users only Download (6MB) |
Abstract
Abstract Fuzzy Model Reference Learning Control (FMRLC) is a control technique,developed by extending some concepts of linguistic control and organizethemselves to take advantage the idea of conventional method (MRAC–ModelReference Adaptive Control). It does not require mathematical model of controland has the ability to learn to determine the most optimal decision so that theoutput generated by the plant is similar to that produced by the reference model.In this study FMRLC used to control DC motor speed. FMRLC has three mainsections consisting of a fuzzy controller, a reference model and learningmechanisms. Unit learning mechanism consists of two parts, namely the fuzzyinverse model and the knowledge base modifier.FMRLC testing conducted on thestep response, set point response constant, response tracking set point and loadtorque.Test results show the adaptive fuzzycontrol system for controlling thespeed of the algorithm FMRLC DC motor can be designed well, evidencedgenerated by FMRLC control system simulation using MATLAB. FMRLCperformance control systems that have been designed for DCmotor speedcontrollerset pointat 3000rpmwith no load, among others:delay time=0,0681second,rise time= 0,2279 seconds,settling time=0,3863 seconds.Asfor the DCmotor at 3000 rpm under load set point torque ½ raises the steady state error of0,0207%, with a max torque loads resulting steady-state error of 0,0413% whengiven load and maximum torque 2x generate steady-state error of0,0818%. Eachsuccessive recovery time following 0,6457 seconds 0,7532 secondsand0,7939seconds.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | Abstrak Fuzzy Model Refrence Learning Control(FMRLC) merupakan teknik kendaliyang dikembangkan dengan memperluas beberapa konsep kendali linguistik yangmengorganisir diri dan dengan memanfaatkan ide dari metode konvensionalModel ReferenceAdaptive Control(MRAC). FMRLC tidak memerlukan modelmatematika dari pengendalian serta memiliki kemampuan untuk belajarmenentukan keputusan yang paling optimal agar keluaran yang dihasilkan olehplant serupa dengan yang dihasilkan oleh model referensi. FMRLC dalampenelitian ini digunakan untuk mengendalikan kecepatan motor DC. FMRLCmemilikitigabagian utama yang terdiri dari pengendalifuzzy, model referensi danmekanisme pembelajaran.Unit learning mechanism terdiri dari dua bagian yaitufuzzy inverse model danknowledge base modifier.PengujianFMRLCdilakukanterhadap respon step, set point yang bernilai konstan, tracking set point danbeban torsi.Hasil pengujian menunjukkan sistem kendali fuzzy adaptif denganalgoritma FMRLC untuk mengendalikan kecepatan putaran motor DC dapatdirancang dengan baik.Unjuk kerja sistem kendali FMRLC yang telah dirancanguntuk pengendali kecepatan putaran motor DCpada set point 3000 rpm tanpabeban antara lain,waktu tunda=0,0681 detik,waktu naik= 0,2279detik,waktupenetapan =0,3863detik.Sedangkan untuk motor DCpadaset point3000 rpmberbeban½ torsi menimbulkanerror steady statesebesar0,0207%, dengan bebantorsi max mengakibatkanerror steady statesebesar 0,0413% dan saat diberikanbeban 2x torsi maksimal menghasilkan error steady state sebesar 0,0818%.Masing-masing waktu pemulihanberurutan sebagai berikut0,6457 detik 0,7939detik dan 0,7532detik. | |||||||||
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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| Depositing User: | Perpustakaan Pusat | |||||||||
| Date Deposited: | 08 Nov 2021 11:08 | |||||||||
| Last Modified: | 08 Nov 2021 11:08 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/4465 |
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