ENGINE SPEED CONTROL USING ONLINE ANN FOR VEHICLE WITH EMDAP-CVT

Authors

  • Sugeng Ariyono Department of Electronic Engineering Politeknik Negeri Semarang 11. Prof.H. Sudarto, S.H. Tembalang Semarang 50329, Indonesia
  • Kamarul Baharin Tawi Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru, Johor
  • Hishamuddin Jamaluddin Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru. Johor
  • Bambang Supriyo Department of Mechanical Engineering Politeknik Negeri Semarang 11. Prof.H. Sudarto, S.H. Tembalang Semarang 50329 , Indonesia

Keywords:

Artificial neural network, CVT control, electromechanical CVT, engine speed control.

Abstract

Controlling engine speed corresponding to load variations and road condition has always
been a challenge to automotive engineers. However, with the introduction of ElectroMechanical
Dual Acting Pulley Continuously Variable Transmission (EMDAP-CVT),
maintaining 'constant engine speed based on either its optimum control line or maximum
engine power characteristic could be made possible. This paper describes' the simulation
work in this area carried out by the Drivetrain Research Group at the Automotive
Development Centre, Universiti Teknologi Malaysia, Skudai Johor. The developed drive
train model is highly non-linear; it could not be controlled satisfactorily by common linear
control strategy such as PID controller. To overcome the problem, the use of Artificial
Neural Network (ANN) is employed to indirectly control the engine speed by adjusting
pulley CVT ratio. Computer simulations showed that applying artificial neural network
(ANN) into drive train model could select a proper transmission ratio where the engine
could be maintained to run at certain desired engine speed.

References

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Published

2018-04-22

How to Cite

Ariyono, S., Tawi, K. B., Jamaluddin, H., & Supriyo, B. (2018). ENGINE SPEED CONTROL USING ONLINE ANN FOR VEHICLE WITH EMDAP-CVT. Jurnal Mekanikal, 22(2). Retrieved from https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/176

Issue

Section

Mechanical

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