A multi-objective optimization method for hydraulically interconnected suspension system

被引:4
作者
Chen, Zhou [1 ]
Fei-Xiang, Xu [1 ,2 ,3 ]
De-Qiang, Cheng [1 ]
机构
[1] China Univ Min & Technol, Sch Informat & Control Engn, Xuzhou, Peoples R China
[2] Ningbo Ind Internet Inst, Ningbo, Peoples R China
[3] China Univ Min & Technol, Sch Informat & Control Engn, Daxue Rd 1, Xuzhou 221100, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Hydraulically interconnected suspension; special vehicle; sensitivity analysis; multi-objective optimization; INSGA-II; IMPROVED NSGA-II; RIDE ANALYSIS; VEHICLE; ALGORITHM; AERIAL; DESIGN;
D O I
10.1177/09544070221140272
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To enhance the ride comfort and roll stability of the special vehicle, this study concentrates on the inherent parameters optimization of the hydraulically interconnected suspension (HIS) system. A road-tire-HIS-body model of a special vehicle is established based on the AMESim/Simulink co-simulation platform. Then the sensitivity of the HIS system is analyzed to determine the design variables to be optimized through the AMESim/Simulink/Isight co-simulation. Two objectives including improving the ride comfort and roll stability of the vehicle are proposed. In order to enhance the population diversity and accelerate the convergence velocity, the improved non-dominated sorting genetic algorithm II (NSGA-II) based on orthogonal experimental design method is used for multi-objective optimization problem of the HIS system. The numerical simulations indicate that the improved NSGA-II (INSGA-II) can generate better distributed Pareto solutions than traditional NSGA-II. Furthermore, simulation results indicate that both of the ride comfort and roll stability of the vehicle are improved based on the HIS system optimized by INSGA-II than NSGA-II. Compared with the NSGA-II method, the vehicle ride comfort and roll stability of HIS system optimized by INSGA-II are increased by 17.62% and 8.56% in sinusoidal conditions, respectively.
引用
收藏
页码:1234 / 1248
页数:15
相关论文
共 36 条
[1]   A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flowshop scheduling problem [J].
Asefi, H. ;
Jolai, F. ;
Rabiee, M. ;
Araghi, M. E. Tayebi .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 75 (5-8) :1017-1033
[2]   GBRAMP: A generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction [J].
Asogbon, Mojisola Grace ;
Lu, Yu ;
Samuel, Oluwarotimi Williams ;
Jing, Liwen ;
Miller, Alice A. ;
Li, Guanglin ;
Wong, Kelvin K. L. .
COMPUTERS & ELECTRICAL ENGINEERING, 2021, 92
[3]   An improved NSGA-II with dimension perturbation and density estimation for multi-objective DV-Hop localisation algorithm [J].
Cao, Yang ;
Zhou, Li ;
Xue, Fei .
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2021, 17 (02) :121-130
[4]   Study on a novel configuration switchable hydraulically interconnected suspension system under nonlinear model predictive control [J].
Chen, Tong ;
Zheng, Minyi ;
Zhang, Nong ;
Luo, Liang ;
Liu, Pengfei ;
Zhong, Weimin .
VEHICLE SYSTEM DYNAMICS, 2022, 60 (10) :3440-3461
[5]   NSGA-II multi-objectives optimization algorithm for energy management control of hybrid electric vehicle [J].
Deng, Tao ;
Lin, Chunsong ;
Luo, Junlin ;
Chen, Bingqu .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2019, 233 (04) :1023-1034
[6]  
Dong L., 2020, J HYDROL, V585
[7]   Switched control of vehicle suspension based on motion-mode detection [J].
Du, Haiping ;
Zhang, Nong ;
Wang, Lifu .
VEHICLE SYSTEM DYNAMICS, 2014, 52 (01) :142-165
[8]   Parameter optimization of rule-based control strategy for multi-mode hybrid electric vehicle [J].
Du, Wei ;
Zhao, Shengdun ;
Jin, Liying ;
Gao, Jinzhou ;
Li, Hao .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (10-11) :2706-2716
[9]   Real-Time Charging Risk Assessment for Electric Vehicles Based on Improved Broad BP-AHP [J].
Ge, Quanbo ;
Qiao, Hanzhe ;
Li, Chunxi ;
Yang, Qinmin ;
Jiang, Haoyu .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (09) :9472-9482
[10]   A Control Strategy for Active Suspension of Heavy Rescue Vehicles Based on Road Level Estimation [J].
Gong M. ;
Yan X. .
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2019, 53 (02) :32-39