Research on Height Control Method of Electronic Air Suspension Vehicle Based on Particle Swarm Optimization PID.

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Bibliographic Details
Title:	Research on Height Control Method of Electronic Air Suspension Vehicle Based on Particle Swarm Optimization PID.
Authors:	Zhu, Qijun¹ zqj614103@163.com, Qu, Baojun¹ qbj22@sina.com, Zhang, Yirui¹ zyr86913@163.com, Xu, Minjie² xmj2447816532@163.com, Nie, Huashuai¹ 19862528224@163.com, Tian, Xiangyu¹ tianxy@sdut.edu.cn
Source:	IAENG International Journal of Applied Mathematics. Jun2026, Vol. 56 Issue 6, p2211-2221. 11p.
Subjects:	Particle swarm optimization, PID controllers, Vibration isolation, Model validation, Automobile testing, Air suspension for automobiles, Motor vehicle springs & suspension
Abstract:	In order to solve overshoot and oscillation issues in the vehicle height control of an electronically controlled air suspension (ECAS) system, this paper proposes a compound control strategy based on particle swarm optimization PID (PSO-PID). Firstly, a mathematical model of a quarter-vehicle air suspension was established, and an AMEsim-Simulink co-simulation platform was developed to verify the model's accuracy. In addition, the influence of initial air pressure, sprung mass, and shock absorber damping on the dynamic height response was analyzed. Based on this, the particle swarm optimization algorithm was employed to adaptively search for the optimal PID parameters and control strategies were proposed to effectively suppress system oscillation and frequent solenoid valve actuation. As a result, simulation results demonstrate that the proposed method significantly reduces overshoot and achieves rapid and smooth height adjustment under both static conditions and Class B Road excitation. Furthermore, real-vehicle tests verify that the control error of the system across high, medium, and low height modes remains within ±3 mm. This indicates good engineering applicability and satisfies the control requirements of the ECAS system under various working conditions. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	In order to solve overshoot and oscillation issues in the vehicle height control of an electronically controlled air suspension (ECAS) system, this paper proposes a compound control strategy based on particle swarm optimization PID (PSO-PID). Firstly, a mathematical model of a quarter-vehicle air suspension was established, and an AMEsim-Simulink co-simulation platform was developed to verify the model's accuracy. In addition, the influence of initial air pressure, sprung mass, and shock absorber damping on the dynamic height response was analyzed. Based on this, the particle swarm optimization algorithm was employed to adaptively search for the optimal PID parameters and control strategies were proposed to effectively suppress system oscillation and frequent solenoid valve actuation. As a result, simulation results demonstrate that the proposed method significantly reduces overshoot and achieves rapid and smooth height adjustment under both static conditions and Class B Road excitation. Furthermore, real-vehicle tests verify that the control error of the system across high, medium, and low height modes remains within ±3 mm. This indicates good engineering applicability and satisfies the control requirements of the ECAS system under various working conditions. [ABSTRACT FROM AUTHOR]
ISSN:	19929978