Since 1963
ARTICLE
Design of semi-active suspension control method based on an enhanced inverse model for nonlinear magnetorheological dampers
1
School of Mehcanical Engineering, Shenyang Ligong University, China
2
Science and Technology Development Corporation, Shenyang Ligong University, China
3
School of Mechanical Engineering, Liaoning Engineering Vocational College, 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 Mehcanical Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, 110159, Shenyang, China
School of Mehcanical Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, 110159, Shenyang, China
KEYWORDS
BP neural networkMagnetorheological damperSemi-active suspensionBeluga whale optimizationVariable universe fuzzy PID
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 its inverse model. 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 enhanced the inverse model, created a variable universe fuzzy PID control. Based on the research outcomes, it has been shown that the introduction of control contributes to noteworthy improvements in the suspension's performance metrics, both in terms of time and frequency domains.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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