Indian Journal of Science and Technology

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Control Algorithm for Emission Test Simulation


Affiliations
1 School of Mechanical and Automotive Engineering, Faculty of Engineering, Kingston University, London, United Kingdom
2 Department of Electrical Engineering, Islamic Azad University, Joybar Branch, Joybar, Iran, Islamic Republic of
 

Automobiles are one of the main sources of global pollution. In order to prevent manufacturing of cars with high pollution, appropriate institutions are performing standard emission tests before the final product is released in the market. Recently, some robots and electronic devices are dedicated to perform such tests instead of human drivers. In this paper, simulation of the vehicle with the brake and the throttle as inputs, and the velocity, the position and the main components of exhaust gas as outputs in the emission test circumstances is discussed. The main components of exhaust gas are measured during the simulation. The performance of a nonlinear fuzzy controller and a conventional PID controller are compared to control the vehicle in such a test.

Keywords

Power Train, Emission Tests, Fuzzy, Pid, Automated Test Driving
User

  • Automobile Emissions (1994) An Overview. U.S. Environmental Protection Agency Office of Mobile Sources. EPA. 400-F-92-007.

  • Bauer H (1996) Automotive handbook Bosch. Robert Bosch GmbH. 4th (Ed.), ISBN 1-56091-918-3.

  • Kiencke U and Nielsen L (2005) Automotive control systems- for engine, driveline, and vehicle. Springer- Verlag, Berlin. pp: 425-460.

  • Using simulink and stateflow in automotive application. simulink- stateflow technical examples. pp: 8-17.

  • PID control toolkit user manual (2007) National Instruments, Lab VIEW, 372192B-01, August.

  • Rajase S and Vijay GA (2007) Neural networks, fuzzy logic and genetic algorithms, synthesis and applications. 7th Ed.,Prentice Hall of India.

  • Zetterqvist C (2007) Power train modelling and control algorithm for traction control. Linkoping University, M.Sc. Thesis.


Abstract Views: 433

PDF Views: 98




  • Control Algorithm for Emission Test Simulation

Abstract Views: 433  |  PDF Views: 98

Authors

S. B. Ayati
School of Mechanical and Automotive Engineering, Faculty of Engineering, Kingston University, London, United Kingdom
H. A. Nozari
Department of Electrical Engineering, Islamic Azad University, Joybar Branch, Joybar, Iran, Islamic Republic of
A. Ordys
School of Mechanical and Automotive Engineering, Faculty of Engineering, Kingston University, London, United Kingdom
G. Collier
School of Mechanical and Automotive Engineering, Faculty of Engineering, Kingston University, London, United Kingdom

Abstract


Automobiles are one of the main sources of global pollution. In order to prevent manufacturing of cars with high pollution, appropriate institutions are performing standard emission tests before the final product is released in the market. Recently, some robots and electronic devices are dedicated to perform such tests instead of human drivers. In this paper, simulation of the vehicle with the brake and the throttle as inputs, and the velocity, the position and the main components of exhaust gas as outputs in the emission test circumstances is discussed. The main components of exhaust gas are measured during the simulation. The performance of a nonlinear fuzzy controller and a conventional PID controller are compared to control the vehicle in such a test.

Keywords


Power Train, Emission Tests, Fuzzy, Pid, Automated Test Driving

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i4%2F30431