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ARTICLE
Design of a semi-active suspension control method based on an enhanced inverse model for nonlinear magnetorheological dampers
1
School of Mechanical Engineering, Shenyang Ligong University, Shenyang, China
2
Science and Technology Development Corporation, Shenyang Ligong University, China
3
School of Mechanical Engineering, Liaoning Engineering Vocational College, Tieling, China
4
School of Mechanical Engineering, Shenyang Ligong University, Shenyang, China
These authors had equal contribution to this work
Submission date: 2023-11-07
Final revision date: 2024-01-30
Acceptance date: 2024-09-19
Online publication date: 2024-10-01
Corresponding author
Chun Wang
School of Mechanical Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, 110159, Shenyang, China
School of Mechanical Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, 110159, Shenyang, China
Journal of Theoretical and Applied Mechanics 2024;62(4):695-711
KEYWORDS
semi-active suspensionBP neural networkbeluga whale optimizationvariable universe fuzzy PIDmagnetorheological damper
TOPICS
robotic and control systemsstability and vibrations systemsdynamics of machines, vehicles and flying structures
ABSTRACT
The nonlinear hysteresis characteristics of magnetorheological dampers lead to low fitting accuracy and poor practicality of their inverse models. Hence, to improve the accuracy of an inverse model generated with BP neural network, this research presents a novel optimization approach called Beluga Whale Optimization. The prediction accuracy of current is enhanced by the optimized inverse model. Under the enhanced inverse model, a variable universe fuzzy PID control is created. Based on the research outcomes, it has been shown that the introduction of control contributes to noteworthy improvements in the suspension performance metrics, both in terms of time and frequency domains.
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| ISSN: | 1429-2955 |
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