Finite Control Augmented with Fuzzy Logic for Automotive Air-spring Suspension System

Mohamed Essam Shalabi, Haitham El-Hussieny, A. A. Abouelsoud, Ahmed M. R. Fath Elbab

2019

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-FLC 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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{icinco19,
author={Mohamed Shalabi and Haitham El-Hussieny and A. Abouelsoud and Ahmed 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},
}

in EndNote Style

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