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ITS » Undergraduate Theses » Teknik Elektro - Ekstensi
Posted by hassane@its.ac.id at 26/05/2010 14:25:42  •  1373 Views


PERANCANGAN DAN IMPLEMENTASI PENGENDALIAN TRAKSI BERBASIS NEURO FUZZY UNTUK SIMULATOR KENDARAAN HYBRID PADA MODE AKSELERASI

DESIGN AND IMPLEMENTATION TRACTION CONTROL BASE ON NEURO-FUZZY FOR HYBRID VEHICLE SIMULATOR ON ACCELERATION MODE

Author :
Sriwidodo, Wahyu  ( 2203109032 )




ABSTRAK

Simulator kendaraan hybrid menggunakan motor bakar sebagai penggerak utama motor listrik sebagai penggerak pendukung dan rem magnetik sebagai beban. Simulator dikonfigurasi secara paralel. Saat simulator diberi beban diatas beban nominal maka kecepatan putar dari motor bakar akan berkurang. Ketika simulator diberi akselerasi maka motor bakar memerlukan waktu yang lebih atau bahkan motor bakar tidak bisa mencapai setpoint. Untuk itu diperlukan torsi tambahan yang digunakan untuk membantu motor bakar sehingga proses akselerasi dapat tercapai. Persoalan utama dari tugas akhir ini adalah bagaimana cara mengatur torsi motor dc sehingga bisa membantu motor bakar dalam menanggung beban. Traksi kontrol berbasis neuro fuzzy dirancang untuk mengatur pemberian torsi motor dc terhadap motor bakar sehingga saat simulator diberi beban di atas beban nominal atau diberi akselerasi motor bakar bisa mengikuti trayektori model referensi yang telah ditentukan. Dari pengujian yang telah dilakukan saat motor bakar bekerja sendiri dan diberi akselerasi terjadi penyimpangan terhadap model referensi sebesar 12 sedangkan saat motor listrik memberikan torsi bantu terhadap motor bakar terjadi penyimpangan terhadap model referensi sebesar 03. Dari hal tersebut berarti traksi kontrol berbasis neuro-fuzzy bisa mengatur pemberian torsi tambahan motor listrik sehingga saat simulator diberi beban penyimpangan rpm terhadap model referensi menjadi lebih kecil.


ABSTRACT

Hybrid vehicle simulator use internal combustion engine as prime mover electromotor as secondary mover and magnetic brake as load. Configuraton simulator parallelly. when simulator given load upper than nominal load the rotary speed of internal combustion engine will reduce. when acceleration given to simulator internal combustion engine need more time or never reach the set point. The ekstra torque needed to assist the internal combustion engine so the acceleration can be reach. Especial problem from this final project is how to control the torque of electromotor. so it can assist internal combustion engine to handle the load. Traction control base on neuro fuzzy is designed to control given added torque ot electromotor to internal combustion engine so when simulator is given load upper then nominal load or needed more acceleration the internal combustion engine can follow the trajectory of reference model that has been choosen. From examination which have been done when ICE worked alone and given acceleration there is deviation to the reference model equal to 12 . While electromotor give assist torque to the ICE there is deviation to the reference model that equal to 0.3 . Knowing that fact Traction Control based on Neuro-Fuzzy can control the assist torque of electromotor. So when load is given to simulator the rpm deviation to the reference model become smaller



KeywordsKendaraan Hybrid; Traksi Kontrol; Neuro-Fuzzy
 
Subject:  Kontrol Otomasi, Fuzzi Logic
Contributor
  1. Ir Rusdhianto Effendie.A.K,MT
Date Create: 05/02/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100010038932
Collection ID: 3100010038932
Call Number: RSE 629. 801 511 313 Sri p


Source
Degree, Electrical Engeenering, RSE 629. 801 511 313 Sri p, 2010

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Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-Undergraduate-10416-Abstract_id.pdf - 30 KB
  2.  ITS-Undergraduate-10416-Conclusion.pdf - 18 KB
  3.  ITS-Undergraduate-10416-Paper.pdf - 376 KB




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