Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories

- Andrizal - Politeknik Negeri Padang, Indonesia
Rivanol Chadry - Politeknik Negeri Padang, Indonesia
Ade Suryani - Politeknik Negeri Padang, Indonesia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.2.2.50

Abstract


Engine scanner unit is a tool used by mechanical power to know the condition of car engine combustion at the time of tune up process done. The level of elements and compounds that dominant in determining categories of combustion of gasoline fuel car engines through the levels of elements and compounds contained in exhaust emissions are Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2) and Oxygen (O2). Complete combustion category produces maximum power, fuel efficiency and emission levels according to the threshold. This occurs when there is a balance of the amount of fuel, airflow and ignition in the engine combustion chamber. Elements and compounds contained in car exhaust emissions can be detected with sensors that are sensitive to elemental levels and these compounds are HC, CO, CO2, and O2 sensors. This study aims to display the data pattern category of combustion engine through exhaust emissions based on multi sensor detection processed with signal processing system in the form of Fast Fourier Transform (FFT) process. Furthermore, data pattern is performed in accordance with the category of combustion engine detected. The system is designed with embedded system using Field Programable Gate Array (FPGA) myRIO and LabVIEW programming. The results in the test displays the data pattern and the comparison test of the reference data pattern with the data pattern of the detection result. The comparison test result of data pattern similar to 87% complete engine combustion category and similar to incomplete combustion category 90%.

Keywords


embedded system, exhaust gas emission, multi sensor, data pattern

Full Text:

PDF

References


Gerhard Knothe,Christopher A. Sharp ,and Thomas W. Ryan http://id.wikipedia.org/wiki/ exhaust emissions . akses 29 Maret 2017.

Andrizal, Rivanol Chadry, Budhi Bachtiar,''Detection Combustion Data Pattern on Gasoline Fuel Motorcycle with Carburetor System'', Vol 6, No 1, IJASEIT, page 107-111, 2016.

Andrizal, Rusfandi, Rivanol Chadry,'' Sum Square Error Methods implementation For Combustion Categorizing Identification in 4 Stroke Engine Gasoline Fuel Motorcyle, Vol 11, No 2, Polirekayasa, halaman 1-10, 2016.

Isnanda,â€Pengaruh Gas Buang Terhadap Kinerja Motor Bensinâ€, Volume 4 No 2 tahun 2007, Jurnal Teknik Mesin, Politeknik Negeri Padang.

Mustafa Bakeri, Akhmad Syarief, Ach. Kusairi,†Analisa gas buang mesin berteknologi EFI dengan bahan bakar premiumâ€, INFO TEKNIK, Volume 13 No. 1, Juli 2012.

Beni Setya Nugraha, S.Pd.T,â€Aplikasi Teknologi Injeksi Bahan Bakar Elektronik (EFI) Untuk Mengurangi Emisi Gas Buang Sepeda Motorâ€, Volume 2 No 5 Nofember 2007, D3 Teknik Mesin Universitas Negeri Semarang.

Mohd. Gempur Adnan,â€Ambang batas emisi gas buang kendaraan bermotor lama†Peraturan Menteri Negara Lingkungan no 5 tahun 2006.

Figaro Group,"Product Information Figaro OxygenSensor SK- 25F", , 2014. akses 29 Maret 2107.

Hanwei electronics,mg-811 data sheet, http://www.hwsensor.com. Akses 5 Maret 2017.

Ahmed Soliman, Prabhu J.Jackson,Giorgio Rizzoni and Prabir Dutta,"A sensor array for control of_engine exhaust after-treatment system",skoge/prost/proceedings/ifac 2005

Keith Moore, National instruments application notes,†Testing Automotive Exhaust Emissions,â€. 2013.

Beny Setia Nugra, Application technology electronic fuel injection (EFI) to reduce exhaust emissions of motorcycles, published by the Journal of Scientific and Applied Technology program D3 Mechanical Engineering, Faculty of Engineering, State University of Semarang volume 5 number 2 in 2007.

Joko Winarno,"Study of exhaust emissions of petrol-engined vehicles in various brands of vehicles and the year of manufacture', published by the Journal of Engineering, Faculty of Engineering, University of Jogyakarta Janabadra

Volume 4 Number 1 in 2014

National Instruments,''NI myRIO Design Real Time System,fast, 2014 akses 22 Juni 2017.

National Instrument,"Getting Started With LabVIEW FPGA,", 2016.Akses 5 Mei 2017.