Semi-Active System of Vehicle Vibration Damping

被引:8
作者
Grzesikiewicz, Wieslaw [1 ]
Makowski, Michal [1 ]
机构
[1] Warsaw Univ Technol, Inst Vehicles & Construct Machinery Engn, 84 Narbutta St, PL-02524 Warsaw, Poland
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 10期
关键词
magneto-rheological damper; control algorithm; mathematical model; vehicle; semi-active suspension; vibration control; BOUC-WEN MODEL; OF-THE-ART; MAGNETORHEOLOGICAL DAMPERS; PARAMETER-IDENTIFICATION;
D O I
10.3390/app11104577
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This article discusses the vibration of a vehicle equipped with four semi-active dampers. The friction forces generated in these dampers have crucial influence on the intensity of the vehicle vibration. To estimate the effect of the vehicle vibration damping, a criterial function depending on the values of these forces has been selected. Solving the problem has the purpose of determining four values of the forces at which the criteria function reaches the minimum at any moment. On the basis of the above, signals for the devices controlling the operation of the semi-active dampers are determined. In this work, the analysis of the discussed problem was conducted in regard to the method for determining the optimal force values. Moreover, the results of the simulation of the vibration of the vehicle equipped with semi-active magneto-rheological dampers are presented. In addition, the analysis of the influence of the form of the criterial function on the vehicle vibration damping efficiency is proposed. Based on the tests carried out on the vehicle with MR dampers, the comfort index improved by 51.6%, compared to the classic suspension.
引用
收藏
页数:21
相关论文
共 34 条
[1]   Parameter identification of Bouc-Wen model for vacuum packed particles based on genetic algorithm [J].
Bartkowski, Piotr ;
Zalewski, Robert ;
Chodkiewicz, Pawel .
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 2019, 19 (02) :322-333
[2]   Hardware-in-the-loop simulation of magnetorheological dampers for vehicle suspension systems [J].
Batterbee, D. C. ;
Sims, N. D. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2007, 221 (I2) :265-278
[3]  
BOUC R, 1971, ACUSTICA, V24, P16
[4]   Smart prosthetics based on magnetorheological fluids [J].
Carlson, JD ;
Matthis, W ;
Toscano, JR .
SMART STRUCTURES AND MATERIALS 2001: INDUSTRIAL AND COMMERCIAL APPLICATIONS OF SMART STRUCTURES TECHNOLOGIES, 2001, 4332 :308-316
[5]   Control characteristics of a continuously variable ER damper [J].
Choi, SB ;
Choi, YT ;
Chang, EG ;
Han, SJ ;
Kim, CS .
MECHATRONICS, 1998, 8 (02) :143-161
[6]  
Choi SB, 2000, J INTEL MAT SYST STR, V11, P936, DOI [10.1106/AERG-3QKV-31V8-F250, 10.1106/AERG-3QKV-3IV8-F250]
[7]   A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension [J].
Do Xuan Phu ;
An, Jin-Hee ;
Choi, Seung-Bok .
APPLIED SCIENCES-BASEL, 2017, 7 (10)
[8]   Modeling and control of magnetorheological dampers for seismic response reduction [J].
Dyke, SJ ;
Spencer, BF ;
Sain, MK ;
Carlson, JD .
SMART MATERIALS & STRUCTURES, 1996, 5 (05) :565-575
[9]   Hybrid Prediction Control for self-adaptive fluid-based shock-absorbers [J].
Faraj, Rami ;
Graczykowski, Cezary .
JOURNAL OF SOUND AND VIBRATION, 2019, 449 :427-446
[10]   Active suspension in railway vehicles: a literature survey [J].
Fu, Bin ;
Giossi, Rocco Libero ;
Persson, Rickard ;
Stichel, Sebastian ;
Bruni, Stefano ;
Goodall, Roger .
RAILWAY ENGINEERING SCIENCE, 2020, 28 (01) :3-35