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Coupling Force Control by Means of Artificial Intelligence
CCHV/T-01

Authors

Aleksendric Dragan - University of Belgrade, Faculty of Mechanical Engineering
Duboka Cedomir - University Of Belgrade, Faculty Of Mechanical Engineering

Abstract

Key words

vehicle combination, coupling force control, artificial intelligence

ABSTRACT

Active safety of vehicle combinations during braking highly depends on braking compatibility behavior. There are different influencing factors disabling partial deceleration of individual elements of a vehicle combination to be “compatible”, or balanced. The paper deals with an advanced intelligent control system that may be used in braking systems of vehicle combinations. Intelligent braking system proposed here is supposed to enable not only to monitor of braking system operation but also to undertake all necessary actions to provide that braking system at any time and under any usage conditions offer the maximum of its actual capabilities. This system is intended to improve vehicle combination braking compatibility behavior by means of monitoring and predictive controlling of tractor/trailer braking force management using artificial intelligence capabilities. Intelligent control system function proposed in this paper is based on establishing relationship between the most dominant influencing factors (driver demands, coupling pressures, initial speeds, and vehicle combination loads) and brake system output i.e. partial deceleration (braking rates) individual components of vehicle combinations.

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