Ride performance of driver’s seat suspension system using various dynamics models

被引：0
作者：
Zhou H. [1 ]
Nguyen V. [1 ]
Hua W. [1 ]
Zha J. [1 ]
Wang S. [2 ]
机构：
[1] School of Mechanical and Electrical Engineering, Hubei Polytechnic University, Huangshi
[2] College of Mechanical and Electrical Engineering, Jiaozuo University, Jiaozuo
来源：
Noise and Vibration Worldwide | 2022年 / 53卷 / 9-10期
关键词：
damping-element; genetic algorithm; negative-stiffness-elemen embedded to the small mass; negative-stiffness-element; ride comfort; seat suspension models; vehicle dynamic model;
D O I：
10.1177/09574565221128068
中图分类号：
学科分类号：
摘要：
The research has proposed three isolation models of the negative-stiffness-element (NSE), the damping-element (DE), and the NSE embedded to the small mass (NSE-SM) that was connected with the seat suspension to ameliorate the ride comfort of the driver. A vibration model of the vehicle and seat built under the random and bumpy excitations has been used for evaluating the isolation performance of the NSE, DE, and NSE-SM. The effect of the NSE, DE, and NSE-SM’s dynamic parameters on their isolation performance is then evaluated via the root-mean-square values of the seat displacement (z ws) and seat acceleration (a ws). Based on the genetic algorithm, the NSE, DE, and NSE-SM’s dynamic parameters are optimized to fully reflect their isolation performance. The investigation result indicates that the driver’s ride comfort is slightly affected by the geometric dimension ratios of the NSE, DE, and NSE-SM, while the driver’s ride comfort is greatly affected by the damping and stiffness parameters; and the damping and stiffness ratios of the NSE, DE, and NSE-SM. With the optimized parameters of the NSE, DE, and NSE-SM, the simulation results under the different operating conditions of the vehicle show that the DE slightly improves the driver’s ride comfort. Conversely, both the NSE and NSE-SM greatly improve the driver’s ride comfort, especially the NSE-SM. Therefore, the model of the seat suspension embedded by the NSE-SM should be applied for improving the driver’s ride comfort. © The Author(s) 2022.
引用
收藏
页码：498 / 508
页数：10
相关论文
共 23 条
  • [1] Tang G., Zhu H., Zhang Y., Et al., Studies of air spring mathematical model and its performance in cab suspension system of commercial vehicle, SAE Tech Pap, 2015, 4, pp. 341-348, (2015)
  • [2] Rao G., Sharma R., Satyanarayana C., Et al., Stochastic optimal preview control response of a quarter-car nonlinear suspension model using spectral decomposition method, Noise Vib Worldwide, 53, 4-5, pp. 225-232, (2022)
  • [3] Salman E., Majid K., Seyed V., Multi-objective optimization of a sports car suspension system using simplified quarter-car models, Mech Ind, 21, pp. 1-12, (2020)
  • [4] Jhon H., Mattson M.G., Buckner G.D., Multi-objective control optimization for semi-active vehicle suspensions, J Sound Vib, 330, pp. 5502-5516, (2011)
  • [5] Nguyen V., Jiao R., Zhang J., Control performance of damping and air spring of heavy truck air suspension system with optimal fuzzy control, SAE Int J Veh Dyna Stab NVH, 4, pp. 179-194, (2020)
  • [6] Kumar S., Singh B., Use of artificial neural network and multi-objective genetic algorithm approach to predict and ascertain stable cutting zone in conventional turning process, Noise Vib Worldwide, 49, 5, pp. 191-214, (2018)
  • [7] Pekgokgoz R., Active suspension of cars using fuzzy logic controller optimized by genetic algorithm, Int J Eng App Sci, 2, 4, pp. 27-37, (2010)
  • [8] Yuan H., Nguyen V., Zhou H., Research on semi-active air suspensions of heavy trucks based on a combination of machine learning and optimal fuzzy control, SAE Int J Veh Dyna Stab NVH, 5, pp. 159-172, (2021)
  • [9] Shen Y., Peng H., Li X., Et al., Analysis, design and experiment of continuous isolation structure with local quasi-zero-stiffness property by magnetic interaction, Int J Non-linear Mec, 116, pp. 289-301, (2019)
  • [10] Ni D., Jiao R., Van L., Et al., Enhancing the ride comfort of off-road vibratory rollers with seat suspension using optimal quasi-zero stiffness, Proc IMechE C: J Mech Eng Sci, 235, pp. 1-15, (2022)
123