Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm
A multi-objective intelligent optimization algorithm-based attitude control strategy for magnetorheological semi-active suspension is proposed to address the vehicle attitude imbalance generated during steering and braking. Firstly, the mechanical properties of the magnetorheological damper (MRD) ar...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Actuators |
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| Online Access: | https://www.mdpi.com/2076-0825/13/12/466 |
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| author | Kailiang Han Yiming Hu Dequan Zeng Yinquan Yu Lei Xiao Jinwen Yang Weidong Liu Letian Gao |
| author_facet | Kailiang Han Yiming Hu Dequan Zeng Yinquan Yu Lei Xiao Jinwen Yang Weidong Liu Letian Gao |
| author_sort | Kailiang Han |
| collection | DOAJ |
| description | A multi-objective intelligent optimization algorithm-based attitude control strategy for magnetorheological semi-active suspension is proposed to address the vehicle attitude imbalance generated during steering and braking. Firstly, the mechanical properties of the magnetorheological damper (MRD) are tested, and the parameters in the hyperbolic tangent model of the magnetorheological damper are identified through experiments. Secondly, a simulation model of the whole vehicle multi-degree-of-freedom vehicle dynamics including magnetorheological damper is established, and the whole-vehicle Linear Quadratic Regulator (LQR) controller is designed. Then, the optimization design model of the joint vehicle controller and vehicle dynamics is established to design the optimization fitness function oriented to the body attitude control performance, and the attitude optimal controller is calculated with the help of multi-objective intelligent optimization algorithm. Simulation results show that the proposed control method is able to improve the body roll angle, body pitch angle, and suspension dynamic deflection well on the basis of ensuring no deterioration in other performance indexes, ensuring good attitude control capability of the vehicle and verifying the feasibility of the control strategy. |
| format | Article |
| id | doaj-art-c0fc5c5487a04c74bdda8407c7e4911a |
| institution | DOAJ |
| issn | 2076-0825 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj-art-c0fc5c5487a04c74bdda8407c7e4911a2025-08-20T02:53:38ZengMDPI AGActuators2076-08252024-11-01131246610.3390/act13120466Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization AlgorithmKailiang Han0Yiming Hu1Dequan Zeng2Yinquan Yu3Lei Xiao4Jinwen Yang5Weidong Liu6Letian Gao7School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Automotive Studies, Tongji University, Shanghai 201804, ChinaDepartment of Civil and Environmental Engineering, UCLA, Los Angeles, CA 90095, USAA multi-objective intelligent optimization algorithm-based attitude control strategy for magnetorheological semi-active suspension is proposed to address the vehicle attitude imbalance generated during steering and braking. Firstly, the mechanical properties of the magnetorheological damper (MRD) are tested, and the parameters in the hyperbolic tangent model of the magnetorheological damper are identified through experiments. Secondly, a simulation model of the whole vehicle multi-degree-of-freedom vehicle dynamics including magnetorheological damper is established, and the whole-vehicle Linear Quadratic Regulator (LQR) controller is designed. Then, the optimization design model of the joint vehicle controller and vehicle dynamics is established to design the optimization fitness function oriented to the body attitude control performance, and the attitude optimal controller is calculated with the help of multi-objective intelligent optimization algorithm. Simulation results show that the proposed control method is able to improve the body roll angle, body pitch angle, and suspension dynamic deflection well on the basis of ensuring no deterioration in other performance indexes, ensuring good attitude control capability of the vehicle and verifying the feasibility of the control strategy.https://www.mdpi.com/2076-0825/13/12/466magnetorheological dampersemi-active suspensionbody attitude controlMOPSO-LQR control |
| spellingShingle | Kailiang Han Yiming Hu Dequan Zeng Yinquan Yu Lei Xiao Jinwen Yang Weidong Liu Letian Gao Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm Actuators magnetorheological damper semi-active suspension body attitude control MOPSO-LQR control |
| title | Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm |
| title_full | Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm |
| title_fullStr | Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm |
| title_full_unstemmed | Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm |
| title_short | Vehicle Attitude Control of Magnetorheological Semi-Active Suspension Based on Multi-Objective Intelligent Optimization Algorithm |
| title_sort | vehicle attitude control of magnetorheological semi active suspension based on multi objective intelligent optimization algorithm |
| topic | magnetorheological damper semi-active suspension body attitude control MOPSO-LQR control |
| url | https://www.mdpi.com/2076-0825/13/12/466 |
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