Universiti Teknologi Malaysia Institutional Repository

Adaptive neural network optimisation control of ICE for vehicle with continuously variable transmission

Tawi, Kamarul Bahrin and Ariyono, Sugeng and Jamaluddin, Hishamuddin and Hussein, Mohamed and Supriyo, Bambang (2007) Adaptive neural network optimisation control of ICE for vehicle with continuously variable transmission. In: International Conference on Intellegence and Advance System, ICEAS’07, 25-28 November 2007, Kuala Lumpur.

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Official URL: http://eprints.utm.my/9606/1/KamarulBaharinTawi200...

Abstract

Continuously variable transmissions (CVT) have received great interest as viable alternative to discrete ratio transmission in passenger vehicle. It is generally accepted that CVTs have the potential to provide such desirable attributes as: a wider range ratio, good fuel economy, shifting ratio continuously and smoothly and good driveability. With the introduction of Continuously Va riable Transmission (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 drivetrain area carried out by the Drivetrain Research Group (DRG) at the Automotive Development Centre (ADC), Universiti Teknologi Malaysia, Skudai Johor. The drivetrain model is highly non-linear; and it could not be controlled satisfactorily by common linear control strategy such as PID controller. To overcome the problem, the use of Adaptive Neural Network Optimisation Control (ANNOC) is employed to indirectly control the engine speed by adjusting pulley CVT ratio. In this work, the simulation results of ANNOC into drivetrain model showed that this highly non-linear behaviour could be controlled satisfactorily.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Adaptive neural network, CVT control, electromechanical CVT, engine speed control
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:24460
Deposited By: Pn Haliza Zainal
Deposited On:18 Apr 2012 05:37
Last Modified:12 Jun 2017 07:23

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