Title: Research on ride comfort control of electro-hydraulic active suspension based on intelligent optimisation control strategy
Authors: Mengchao Wang; Renjun Liu; Qinghe Guo; Huihui Zhou; Shilu Guo; Weiliang Xu
Addresses: School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China ' School of Art and Design, Hubei University of Automotive Technology, Shiyan, 442002, China ' School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China ' School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China ' Weichai Lovol Intelligent Agricultural Technology CO., LTD., Weifang, 261000, China ' School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China
Abstract: High-frequency excitation signals pose a severe impact on human health during vehicle operation. Designing a control strategy to enhance vehicle dynamic performance for the system of electro-hydraulic active suspension, characterised by parameter uncertainties and high-dimensional nonlinearity, is a significant challenge. In response, an intelligent optimisation control strategy was proposed: The multi-strategy improved beluga whale optimisation (MSIBWO) was used to optimise the parameters of a hybrid hierarchical controller (HHC). The outer layer of the HHC employs impedance control to calculate the desired force. The inner layer utilises a fractional order PID (FOPID) controller to control the nonlinear electro-hydraulic servo actuator, characterised by time-varying parameters, ensuring it tracks the desired force. Simulation analyses conducted in MATLAB/Simulink reveal that the proposed MSIBWO algorithm surpasses the beluga whale optimisation (BWO) algorithm regarding convergence accuracy and speed. Furthermore, the intelligent optimisation control strategy significantly improves vehicle ride comfort while maintaining driving safety on high-frequency road surfaces.
Keywords: high frequency signal; excitation signal; electro-hydraulic active suspension; ride comfort control; intelligent optimisation control; HHC; hybrid hierarchical controller; optimisation algorithm; improved algorithm.
DOI: 10.1504/IJHVS.2025.149284
International Journal of Heavy Vehicle Systems, 2025 Vol.32 No.5, pp.664 - 693
Received: 18 Jul 2024
Accepted: 05 Aug 2024
Published online: 22 Oct 2025 *