Title: Intelligent control for ABS application with identification of road and environmental properties

Authors: Valentin G. Ivanov, Vladimir B. Algin, Barys N. Shyrokau

Addresses: Department of Automobiles, Belarusian National Technical University, 65 Nezavisimosti Ave., 220 013 Minsk, Belarus. ' National Academy of Sciences of Belarus, Nirup 'Belavtotraktorostroenie', 12 Academicheskaya Str., 220 072 Minsk, Belarus. ' National Academy of Sciences of Belarus, Nirup 'Belavtotraktorostroenie', 12 Academicheskaya Str., 220 072 Minsk, Belarus

Abstract: The paper discusses conceptual solutions for intelligent algorithms of antilock braking systems (ABS) and other active safety systems. The intelligent control of wheel rolling in braking mode can be organised using the fuzzy logic procedures and statistical regularities of tyre-road interaction, together with the data processing of information from on- and off-board sensors. The possibility for identification of road and environmental properties in a way to create the adaptive, self-learning algorithms is distinctive feature of proposed control strategy. The structure of rules and decision-making procedures for a variant of such control system is presented. The results of simulation are given for the proposed intelligent ABS algorithm, as applied to middle class city bus.

Keywords: active safety; antilock braking systems; fuzzy logic; intelligent control; tyre-road interaction; fuzzy control; ABS; vehicle safety; sensors; adaptive control; self-learning control; control strategy; simulation; bus safety; bus braking systems; road conditions.

DOI: 10.1504/IJVAS.2006.009307

International Journal of Vehicle Autonomous Systems, 2006 Vol.4 No.1, pp.44 - 67

Published online: 16 Mar 2006 *

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