PENGENDALIAN KECEPATAN MOTOR DC BERBASIS FUZZY ADAPTIF DENGAN ALGORITMA FUZZY MODEL REFERENCE LEARNING CONTROL (FMRLC)
Main Author: | NUR AISAH, SITI |
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Format: | Thesis NonPeerReviewed Book |
Bahasa: | ind |
Terbitan: |
, 2013
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Subjects: | |
Online Access: |
https://eprints.untirta.ac.id/4465/1/Pengendalian%20kecepatan%20motor%20DC%20Berbasis%20Fuzzy%20Adaftif%20dengan%20Algoritma%20Fuzzy%20model%20Reference%20Learning%20Control.pdf https://eprints.untirta.ac.id/4465/ |
Daftar Isi:
- 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 1⁄2 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.