Global Sensitivity Analysis and Multi-objective Optimization of Hydraulically Interconnected Suspension Parameters

被引:0
|
作者
Zhang N. [1 ,2 ]
Wang S. [1 ]
Zhang B. [1 ]
Tan B. [1 ]
机构
[1] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha
[2] School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Sydney
基金
中国国家自然科学基金;
关键词
Genetic algorithms; Hydraulically interconnected suspension(HIS); Multi-objective optimization; Sensitivity analysis; Vehicle suspensions;
D O I
10.16339/j.cnki.hdxbzkb.2020.10.001
中图分类号
学科分类号
摘要
The parameter matching of the hydraulically interconnected suspension(HIS) system has a critical effect on its dynamic performance. To improve the overall dynamic performance of the system,the global sensitivity analysis and multi-objective optimization are proposed for an anti-pitch and anti-roll HIS system. Firstly,a seven degree-of-freedom vehicle dynamic model is established in the frequency domain. Then,the riding comfort,stability,and anti-pitch and anti-roll performance of the vehicle are evaluated by stochastic road input. In addition,the global parameter sensitivity analysis of the HIS system is presented using the Sobol method to evaluate the influence of each parameter and find out the critical parameters of the HIS system. Furthermore,a multi-objective optimization procedure is proposed to optimize vehicle performance by the NSGA-II algorithm. The result illustrates that the linear loss coefficients of the damping valves on cylinders and accumulators have a significant influence on each performance index,and the interaction effect of some parameters has a great influence on vehicle anti-roll performance. After multi-objective optimization,the optimization result obtained by the weighted coefficient method shows that:the root mean square(RMS) value of sprung mass's weighted acceleration is decreased by 20.94%;the RMS value of pitch acceleration is decreased by 12.95%;the RMS value of roll acceleration is decreased by 8.05%;the mean value of tire dynamic force RMS value is decreased by 11.17%. Through the global sensitivity analysis and multi-objective optimization,the overall vehicle performance can be improved significantly. © 2020, Editorial Department of Journal of Hunan University. All right reserved.
引用
收藏
页码:1 / 9
页数:8
相关论文
共 15 条
  • [1] ZHANG J, DENG Y, ZHANG N, Et al., Vibration performance analysis of a mining vehicle with bounce and pitch tuned hydraulically interconnected suspension, Chinese Journal of Mechanical Engineering, 32, 1, (2019)
  • [2] LI H, LI S, SUN W., Vibration and handling stability analysis of articulated vehicle with hydraulically interconnected suspension, Journal of Vibration and Control, 25, 13, pp. 1899-1913, (2019)
  • [3] SMITH W A, ZHANG N, HU W., Hydraulically interconnected vehicle suspension: handling performance, Vehicle System Dynamics, 49, 1, pp. 87-106, (2011)
  • [4] WANG L, ZHANG N, DU H., Experimental investigation of a hydraulically interconnected suspension in vehicle dynamics and stability control, SAE International Journal of Passenger Cars-Mechanical Systems, 5, 1, pp. 759-768, (2012)
  • [5] DING F, ZHANG N, HAN X., Modeling and modal analysis of multi-body truck system fitted with hydraulically interconnected suspension, Journal of Mechanical Engineering, 48, 6, pp. 116-123, (2012)
  • [6] LIANG J, WU J, ZHANG N, Et al., Interval uncertain analysis of active hydraulically interconnected suspension system, Advances in Mechanical Engineering, 8, 5, (2016)
  • [7] CHEN S, SHI T, WANG D, Et al., Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II, Journal of Mechanical Science and Technology, 29, 3, pp. 1007-1018, (2015)
  • [8] ZHU H, YANG J, ZHANG Y., Modeling and optimization for pneumatically pitch-interconnected suspensions of a vehicle, Journal of Sound and Vibration, 432, pp. 290-309, (2018)
  • [9] XU X, YANG M, JIA N, Et al., The structure optimization of tracked ambulance nonlinear vibration reduction system, Journal of Mechanical Science and Technology, 31, 2, pp. 523-533, (2017)
  • [10] ZHU X, HUANG J, QUAN L, Et al., Comprehensive sensitivity analysis and multiobjective optimization research of permanent magnet flux-intensifying motors, IEEE Transactions on Industrial Electronics, 66, 4, pp. 2613-2627, (2018)