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Authors: Mohamed Shalabi 1 ; Haitham El-Hussieny 2 ; A. Abouelsoud 3 and Ahmed Fath Elbab 4

Affiliations: 1 Mechatronics and Robotics Engineering Department, Egypt-Japan University for Science and Technology, Alexandria and Egypt ; 2 Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Cairo and Egypt ; 3 Electronics and Communication Department, Cairo University, Cairo and Egypt ; 4 Mechatronics and Robotics Engineering Department, Egypt-Japan University for Science and Technology, Alexandria, Egypt, On leave from Mechanical Eng. Department, Assiut University and Egypt

ISBN: 978-989-758-380-3

Keyword(s): Air Suspension, Vibration Isolation, Fuzzy Control.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Fuzzy Control ; Fuzzy Systems ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: This paper investigates the spring stiffness control of air suspension systems working under different operating conditions of road profile frequencies and amplitudes. Usually changing the stiffness of the air spring involves variations of the enclosed air pressure by pumping air into or out of the air chamber, or by changing its volume. Since, changing spring stiffness through controlling its pressure consumes power and is not instantaneous, controlling the stiffness through finite volume control is merged with a PI-like Fuzzy Logic Control (PI-FLC) in this paper. This is achieved by connecting the air spring volume to two additional unequal volumes. By controlling the total spring volumes through ON-OFF switching valves, four different stiffness settings are available, and one can achieve an improved performance of air suspension system. A nonlinear quarter-car model is used to evaluate the proposed approach while a Genetic Algorithm (GA) optimization is applied to estimate the PI-F LC optimal gains and the finite levels for switching the spring volumes. Numerical simulations results demonstrate the performance of the proposed control under different road profile. The vehicle body acceleration decreases by a value that reaches 4 cm/s2 which means improving the passenger ride comfort as well as maintaining the passenger safety. This in turns encourages the implementation of the proposed approach on an actual vehicle air suspension in the near future to further verify the system performance. (More)

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Paper citation in several formats:
Shalabi, M.; El-Hussieny, H.; Abouelsoud, A. and Fath Elbab, A. (2019). Finite Control Augmented with Fuzzy Logic for Automotive Air-spring Suspension System.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 289-294. DOI: 10.5220/0007922002890294

@conference{icinco19,
author={Mohamed Essam Shalabi. and Haitham El{-}Hussieny. and A. A. Abouelsoud. and Ahmed M. R. Fath Elbab.},
title={Finite Control Augmented with Fuzzy Logic for Automotive Air-spring Suspension System},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={289-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007922002890294},
isbn={978-989-758-380-3},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Finite Control Augmented with Fuzzy Logic for Automotive Air-spring Suspension System
SN - 978-989-758-380-3
AU - Shalabi, M.
AU - El-Hussieny, H.
AU - Abouelsoud, A.
AU - Fath Elbab, A.
PY - 2019
SP - 289
EP - 294
DO - 10.5220/0007922002890294

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