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Hierarchical Control Strategy for Active Hydropneumatic Suspension Vehicles Based on Genetic Algorithms

Feng, J, Matthews, C, Zheng, S, Yu, F and Gao, D (2015) Hierarchical Control Strategy for Active Hydropneumatic Suspension Vehicles Based on Genetic Algorithms. ADVANCES IN MECHANICAL ENGINEERING, 7 (2). pp. 1-10. ISSN 1687-8132

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A new hierarchical control strategy for active hydropneumatic suspension systems is proposed. This strategy considers the dynamic characteristics of the actuator. The top hierarchy controller uses a combined control scheme: a genetic algorithm- (GA-) based self-tuning proportional-integral-derivative controller and a fuzzy logic controller. For practical implementations of the proposed control scheme, a GA-based self-learning process is initiated only when the defined performance index of vehicle dynamics exceeds a certain debounce time threshold. The designed control algorithm is implemented on a virtual prototype and cosimulations are
performed with different road disturbance inputs. Cosimulation results show that the active hydropneumatic suspension system designed in this study significantly improves riding comfort characteristics of vehicles. The robustness and adaptability of the proposed controller are also examined when the control system is subjected to extremely rough road conditions.

Item Type: Article
Uncontrolled Keywords: Science & Technology; Physical Sciences; Technology; Thermodynamics; Engineering, Mechanical; Engineering; SYSTEM; FUZZY; OPTIMIZATION
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20)
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Date Deposited: 19 Jun 2015 13:39
Last Modified: 04 Sep 2021 14:17
DOI or ID number: 10.1155/2014/951050
URI: https://researchonline.ljmu.ac.uk/id/eprint/1431
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