Design And Analysis Of The Automatic Braking Control System On City Car Manual Transmission With Decision Support System Intelligent
Volume 4 - Issue 2, February 2020 Edition
[Download Full Paper]
Author(s)
Doddy Satrya Perbawa, Galih Setiawan Nurohim
Keywords
censor, microcontroller, ANFIS, Forward Chaining, pressure, pascal law
Abstract
The design and the automatic braking control system in the car city car manual transmission is applied to the car has a wieght of 1090 kg empty and applied on a straight road with no twists and climbs as well as derivatives. The design of this system using ANFIS (Adaptive Neuro Fuzzy Infrence System). algorithm. The system implements momentum formula weight force and acceleration are then applied in pascal law because the current legal system applying mechanical braking pascal. The system works triggered by several variables and the degree of membership of input variables are variables kecepaan, mass and distance, of the three input variables are obtained automatically from the sensor, the output generating braking pressure force that is triggered from the input variables. Variable output has different value corresponds to the value of input variables. The system is equipped with an intelligent system for the system to accommodate decisions made by manual braking. It aims to provide otmatis braking command is often done by the driver. The system uses the Forward Chaining method that can be applied to the automation system can learn the driver in braking. Processing of input and output variables resulting from calculation pascal law, serve as training data for ANFIS, ANFIS processing using MATLAB. In this MATLAB rules and obtained a degree of membership value of the variable and variables derived from the FIS. From the results of FIS be tested by inserting some great input variables to determine the braking force that is done. Test data is applied in the CV AVR to do. CV AVR serves as a charging program for mikrokonroler using C language Results of CV AVR programs implemented in PROTEUS. Proteus serves as a prototype design of the system, there are several tools such as sensors and microcontrollers.
References
[1] Aidatul Fitriah, Agus Maman Abadi, 2011, Aplikasi Model Neuro Fuzzy Untuk Prediksi Tingkat Inflasi Di Indonesia, Prosiding Seminar Nasional Matematika dan Pendidikan Matematika Yogyakarta, 3 Desember 2011, ISBN: 987-979-16353-6-3
[2] Arief Hermawan, 2006, Jaringan Syaraf Tiruan Teori dan Aplikasi, ANDI OFFSET, Yogyakarta.
[3] Efriam Turban,Ting Peng Liang, 2005, Decision Support Systems and Intellegent Systems, Edisi Tujuh, Jilid Satu, ANDI, Yogyakarta.
[4] Hasibuan, Z., A., 2007, Metodologi Penelitian Pada Bidang IlmuKomputer Dan Teknologi Informasi :Konsep, Teknik, Dan Aplikasi, http://ebookbrowse.com/buku-metode-penelitian-pada-bidang-ikom-ti-zainal-a-hasibuan-pdf-d419027126
[5] Heri Andrianto, 2013, Pemrograman Mikrokontroler AVR ATmega16 menggunakan BahasaC (CodeVisorAVR ) ,Edisi Revisi, Informatika, Bandung.
[6] Lee, A,S., 2007, Action Is an Artifact : What Action Research and Design Science Offer to Each Other, Springer, Laredo, Texas, USA.
[7] Prabowo PudjoWidodo, Rahmadya Trias Handayanto, 2012, Penerapan Softcomputing Dengan MATLAB, EdisiRevisi, Rekayasa Sains, Bandung.
[8] Sidik Nurcahyo, 2013, AVR ATMEL Object Oriented Programming using C++, Andi OFFSET, Yogyakarta.
[9] Sri Kusumadewi,2002, Analisis&DesainSistem Fuzzy Menggunakan Tool Box Matlab,Cetakan Pertama, GRAHA ILMU, Yogyakarta.
[10] Sri Kusumadewi, Sri Hartati, 2010, Neuro-Fuzzy Integrasi Sistem Fuzzy dan Jaringan Syaraf, Edisi Dua,Graha Ilmu, Yogyakarta.
[11] Widodo Budiharto,2011, Aneka ProyekMikrokontroler, Cetakan Pertama, GRAHA ILMU, Yogyakarta.
[12] W. Bolton, 2006, SISTEM INSTRUMENT DAN SISTEM KONTROL, Erlangga, Jakarta.
[13] Andry SetyoA, Bambang Sutopo, 2009, Kendali Kecepatan Motor DC Berdasarkan Perubahan Jarak Menggunakan Pengendali Logika Fuzi Berbasis Mikokontroler AT89C51, Digital Library-Perpustakaan Pusat Unikom-Knowledge Center.
[14] Ari Beni Santoso, Martinus, Sugiyanto, 2013, Pembuatan Otomasi Pengaturan Kereta Api, Pengereman, Dan Palang Pintu Pada Rel Kereta Api Mainan Berbasis Mikrokontroler, Junal IlmiahTeknikMesin,Vol 1,No1 (2013).
[15] Arif Usman, 2011, Alat Pendeteksi Jarak Pada Kendaraan Roda Dua Menggunakan Sensor Ultrasonic DeganTampilan LCD Dan Sistem Getar Berbasis Jaringan Nirkabel Dan Mikrokontroler Atmega8535,e print, http://repository.gunadarma.ac.id.
[16] Doddy Satrya Perbawa.Desain Dan Analisis Kendali Pengereman Otomatis Pada Mobil City Car Manual Transmission.Jurnal Ilmiah Sinus,Vol 12,No 2(2014).
[17] Ratna Ika Putri, Mila Fauziyah, Agus Setiawan, 2009, Penerapan Kontroler Neural Fuzy Untuk Pengendalian Kecepatan Motor Induksi 3 Fasa Pada Mesin Sentrifugal, INKOM,Vol.III,No.1-2,2009.
[18] Wahyudi, 2005, Implementasi Fuzzy Logic Controller Pada Sistem Pengereman Kereta Api,Transmisi ,Vol 10, No 2, Desember:10-13.
