Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/114355
Type: Journal article
Title: Fuel efficient intelligent control of heavy trucks
Author: Ahmed, H.
Faris, W.
Akmeliawati, R.
Citation: ARPN Journal of Engineering and Applied Sciences, 2016; 11(6):4164-4171
Publisher: Asian Research Publishing Network
Issue Date: 2016
ISSN: 1819-6608
Statement of
Responsibility: 
H. Ahmed, W. F. Faris and R. Akmeliawati
Abstract: This work answers the need for improvement in fuel economy in heavy duty vehicles (HDV’s), in a manner simple enough to be used in open road missions. A lookahead anticipatory control (LA) method is designed to adjust longitudinal motion (signified by velocity of the vehicle system) using knowledge of fluctuations in road grade. The prediction of driving behaviour is done using a fuzzy logic function based on a predefined rule-base. Control action of the brake and throttle positions are implemented by taking the state-dependent riccati equation approach. The results of the proposed controller are compared against those of a standard PI cruise controller. Moreover, results of simulations on a 40 ton vehicle show the proposed method capable of increasing fuel economy.
Keywords: Fuzzy forecasting; dynamic programming; state dependent riccati equation
Rights: © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.
RMID: 0030085508
Published version: http://www.arpnjournals.com/jeas/volume_06_2016.htm
Appears in Collections:Mechanical Engineering publications

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