A GSA-based adaptive fuzzy PID-controller for an active suspension system
Abstract
Purpose
The purpose of this paper is to propose a novel design for determining the optimal hybrid fuzzy PID-controller of an active automobile suspension system, employing the gravitational search algorithm (GSA).
Design/methodology/approach
The hybrid fuzzy PID-controller structure is an improvement to fuzzy PID-controller by incorporating a fast learning PID-controller.
Findings
The GSA can adjust the parameters of the PID-controller to achieve the optimal performance.
Research limitations/implications
The GSA may have the advantage of quick convergence, but the required computation may be intensive.
Practical implications
The simulation results demonstrate the effectiveness of the proposed approach on active automobile suspension system.
Originality/value
In order to demonstrate the theoretical guarantee of the proposed method, comparisons with particle swarm optimization or other methods has also been carried out.
Keywords
Acknowledgements
This work is supported by the Ministry of Science and Technology, Taiwan, ROC, under Grant Numbers MOST 103-2221-E-218-027 and MOST 104-2221-E-218-039.
Citation
Chao, C.-T., Liu, M.-T., Chiou, J.-S., Huang, Y.-J. and Wang, C.-J. (2016), "A GSA-based adaptive fuzzy PID-controller for an active suspension system", Engineering Computations, Vol. 33 No. 6, pp. 1659-1667. https://doi.org/10.1108/EC-08-2015-0240
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited