The control design of transverse interconnected electronic control air suspension based on seeker optimization algorithm

Cao, Kai; Li, Zhiqiang; Gu, Yuxiang; Zhang, Liuyang; Chen, Liqing

doi:10.1177/0954407020984667

Cited by 17 publications

(6 citation statements)

References 18 publications

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“…Considering the evolution of pneumatic suspension, their initial application was found in providing leveling function. 4,5 Conventional suspensions that use mechanical springs are most effective on roads with tiny bumps creating high-frequency vibrations, but may sometimes cause motion sickness or nausea in their passenger, if the 0–0.8 Hz vibrations are not effectively controlled, 6 whereas, this scarcely occurs in air suspension and provides conditions in which light vehicles can deliver very smooth ride conditions.…”

Section: Introductionmentioning

confidence: 99%

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Ghorbany

Ebrahimi-Nejad

Mollajafari

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, the parameters of the validated suspension system model of a full-vehicle are tuned through design sensitivity analyses, and then Multi-Objective Particle Swarm Optimization (MOPSO) is used to enhance vehicle ride comfort, which is the vertical whole-body vibrations, and handling features, that is, roll motion and road holding, simultaneously. The parameters of this thermodynamic-based pneumatic suspension system model are comprised of the air spring reservoir volume, orifice resistance, initial volume, and pressure of the pneumatic springs. To enhance the convergence rate, computational times, and diversity of the swarm particles, we have incorporated chaotic dynamics into the MOPSO using the Logistic Map chaotic method to initialize the population and also employed the leader-based global guidance techniques to conduct the potential solutions in each iteration. The analysis of the proposed modeling and optimization results show that the suspension system has been reasonably boosted in terms of vehicle handling and ride comfort. Quantitatively, the RMS acceleration and pitch angle has been reduced by about 71% and 57%, respectively, showing a substantial improvement in passenger comfort. Furthermore, the proposed approach caused an increase in tire road-holding force by about 148% and a reduction of roll angle by 33% which results in an enhancement in vehicle handling, boosting vehicle driving safety.

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Section: Introductionmentioning

confidence: 99%

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Ghorbany

Ebrahimi-Nejad

Mollajafari

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Vehicle height control can adjust the vehicle attitude, thereby improving the passing ability, handling stability, and ride comfort of the vehicle (Cao et al, 2021; Sun et al, 2016). Generally, vehicle height control mainly uses active suspensions, such as an air or hydraulic suspension (Wang and Xia, 2019; Zhao et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of a novel methodology for shifting an isolated body based on nonlinear system vibration

Yao

et al. 2022

Journal of Vibration and Control

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The asymmetrical damping of a vibration-isolation system induces a change in the mean position of the isolated body. Inspired by this phenomenon, a novel idea to vertically shift an isolated body based on nonlinear system vibration with asymmetrical damping is proposed. The proposed idea can be applied in fields that require the isolated body’s height to be adjusted. A methodology based on the homotopy analysis method (HAM), which is used to obtain the approximate analytical solution of a piecewise-smooth vibration-isolation system, was developed to verify the feasibility of the proposed idea. The accuracy of the solution obtained by the HAM was verified by the Runge–Kutta method. Furthermore, based on the analytical solution, the effects of critical parameters on the vibration responses of the system were analyzed. Finally, the proposed idea was applied to vehicle height adjustments. Simulation results showed that vehicle height adjustments could be realized only using a semi-active suspension. This provides a novel methodology for vehicle height control.

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“…Intelligent driving vehicles are not only a research hotspot in the field of vehicle engineering but are also a new direction in the development of automobile industry for the future [1,2]. Vehicle motion control is the core to realize intelligent driving and lateral motion control is an important factor in ensuring vehicle driving safety, handling stability and other performance [3,4].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Vehicle Lateral Control Method Based on Feedforward + Predictive LQR Algorithm

Yang

Bai

et al. 2021

Actuators

Self Cite

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Aiming at the problems of control stability of the intelligent vehicle lateral control method, single test conditions, etc., a lateral control method with feedforward + predictive LQR is proposed, which can better adapt to the problem of intelligent vehicle lateral tracking control under complex working conditions. Firstly, the vehicle dynamics tracking error model is built by using the two degree of freedom vehicle dynamics model, then the feedforward controller, predictive controller and LQR controller are designed separately based on the path tracking error model, and the lateral control system is built. Secondly, based on the YOLO-v3 algorithm, the environment perception system under the urban roads is established, and the road information is collected, the path equation is fitted and sent to the control system. Finally, the joint simulation is carried out based on CarSim software and a Matlab/Simulink control model, and tested combined with hardware in the loop test platform. The results of simulation and hardware-in-loop test show that the transverse controller with feedforward + predictive LQR can effectively improve the accuracy of distance error control and course error control compared with the transverse controller with feedforward + LQR control, LQR controller and MPC controller on the premise that the vehicle can track the path in real time.

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The control design of transverse interconnected electronic control air suspension based on seeker optimization algorithm

Cited by 17 publications

References 18 publications

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Analysis of a novel methodology for shifting an isolated body based on nonlinear system vibration

Intelligent Vehicle Lateral Control Method Based on Feedforward + Predictive LQR Algorithm

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