|Table of Contents|

[1] Nguyen Van Liem, Zhang Jianrun, Le Van Quynh, et al. Performance analysis of air suspension system of heavy truckwith semi-active fuzzy control [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 159-165. [doi:10.3969/j.issn.1003-7985.2017.02.006]
Copy

Performance analysis of air suspension system of heavy truckwith semi-active fuzzy control()
Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
33
Issue:
2017 2
Page:
159-165
Research Field:
Traffic and Transportation Engineering
Publishing date:
2017-06-30

Info

Title:
Performance analysis of air suspension system of heavy truckwith semi-active fuzzy control
Author(s):
Nguyen Van Liem1;  2;  Zhang Jianrun1;  Le Van Quynh2;  Jiao Renqiang1;  Liao Xin1
1School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2Faculty of Automotive and Power Machinery Engineering, Thai Nguyen University of Technology, Thai Nguyen 23000, Vietnam
Keywords:
heavy truck;  dynamic model;  air suspension;  fuzzy logic control;  dynamic load coefficient
PACS:
U461.3
DOI:
10.3969/j.issn.1003-7985.2017.02.006
Abstract:
In order to analyze and evaluate the performance of the air suspension system of heavy trucks with semi-active fuzzy control, a three-dimensional nonlinear dynamical model of a typical heavy truck with 16-DOF(degree of freedom)is established based on Matlab/Simulink software. The weighted root-mean-square(RMS)acceleration responses of the vertical driver’s seat, the pitch and roll angle of the cab, and the dynamic load coefficient(DLC)are chosen as objective functions, and the air suspension system is optimized and analyzed by the semi-active fuzzy control algorithm when vehicles operate under different operation conditions. The results show that the influence of the roll angle of the cab on the heavy truck ride comfort is clear when vehicles move on the road surface conditions of the ISO level D and ISO level E at a velocity over 27.5 m/s. The weighted RMS acceleration responses of vertical driver’s seat, the pitch and roll angle of the cab are decreased by 24%, 30% and 25%, respectively, when vehicles move on the road surface condition of the ISO level B at a velocity of 20 m/s. The value of the DLC also significantly decreases when vehicles operate under different operation conditions. Particularly, the DLC value of the tractor driver axle is greatly reduced by 27.4% when the vehicle operates under a vehicle fully-loaded condition on the road surface condition of ISO level B at a velocity of 27.5 m/s.

References:

[1] Guglielmino E, Edge K A, Stammers C W. Robust force control in electrohydraulic friction damper systems using a variable structure scheme with non-linear state feedback [C]//2nd Internationales Fluidtechnisches Kolloquium. Dresden, Germany, 2000: 163176.
[2] Choi S B, Lee S K, Park Y P. A hysteresis model for the field-dependent damping force of a magnetorheological damper [J]. Journal of Sound and Vibration, 2001, 245(2): 375-383. DOI:10.1006/jsvi.2000.3539.
[3] Rao M V C, Prahlad V. A tunable fuzzy logic controller for vehicle-active suspension systems [J]. Fuzzy Sets and Systems, 1997, 85(1): 11-21. DOI:10.1016/0165-0114(95)00369-x.
[4] Mamdani E H, Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller [J]. International Journal of Man-Machine Studies, 1975, 7(1): 1-13. DOI:10.1016/s0020-7373(75)80002-2.
[5] Pekgökgöz R K, Gürel M A, Bilgehan M, et al. Active suspension of cars using fuzzy logic controller optimized by genetic algorithm [J]. International Journal of Engineering and Applied Science, 2010, 2(4): 27-37.
[6] Chen Y, Wang Z L, Qiu J, et al. Hybrid fuzzy skyhook surface control using multi-objective microgenetic algorithm for semi-active vehicle suspension system ride comfort stability analysis [J]. Journal of Dynamic Systems, Measurement, and Control, 2012, 134(4): 041003. DOI:10.1115/1.4006220.
[7] Félix-Herrán L C, Mehdi D, de Rodríguez-Ortizc J D J, et al. Hinf control of a suspension with a magnetorheological damper [J]. International Journal of Control, 2012, 85(8): 1026-1038. DOI:10.1080/00207179.2012.674216.
[8] Nguyen S D, Nguyen Q H, Choi S B. A hybrid clustering based fuzzy structure for vibration control—Part 2: An application to semi-active vehicle seat-suspension system [J]. Mechanical Systems and Signal Processing, 2015, 450(56/57): 288-301. DOI:10.1016/j.ymssp.2014.10.019.
[9] Li C, Zhao Q. Fuzzy control of vehicle semi-active suspension with MR damper [C]//2010 WASE International Conference on Information Engineering. Beidaihe, China, 2010, 10: 426-428. DOI: 10.1109/ICIE.2010.279.
[10] Yagiz N, Sakman L E, Guclu R. Different control applications on a vehicle using fuzzy logic control [J]. Indian Academy of Sciences, 2008, 33(1): 15-25. DOI:10.1007/s12046-008-0002-9.
[11] Yoshimura T, Isari Y, Li Q, et al. Active suspension of motor coaches using skyhook damper and fuzzy logic control [J]. Control Engineering Practice, 1997, 5(2): 175-184. DOI:10.1016/s0967-0661(97)00224-4.
[12] Ieluzzi M, Turco P, Montiglio M. Development of a heavy truck semi-active suspension control [J]. Control Engineering Practice, 2006, 14(3): 305-312. DOI:10.1016/j.conengprac.2005.03.019.
[13] Buhari R, Rohani M M, Abdullah M E. Dynamic load coefficient of tyre forces from truck axles [J]. Applied Mechanics and Materials, 2013, 405-408: 1900-1911. DOI:10.4028/www.scientific.net/amm.405-408.1900.
[14] Xie Z C, Wong P K, Zhao J, et al. A noise-insensitive semi-active air suspension for heavy-duty vehicles with an integrated fuzzy-wheelbase preview control [J]. Mathematical Problems in Engineering, 2013, 2013: 1-13. DOI:10.1155/2013/121953.
[15] Fox M N, Roebuck R L, Cebon D. Modelling rolling-lobe air springs [J]. International Journal of Heavy Vehicle Systems, 2007, 14(3): 254-270. DOI:10.1504/ijhvs.2007.015603.
[16] Karray F O, de Silva C W. Soft computing and intelligent systems design: Theory, tools, and application [M]. New York, USA: Addison Wesley, 2014.
[17] Mamdani E H. Advances in the linguistic synthesis of fuzzy controllers[J]. International Journal of Man-Machine Studies, 1976, 8(6): 669-678. DOI:10.1016/s0020-7373(76)80028-4.
[18] International Organization for Standardization. ISO 2631-1 Mechanical vibration and shock—Evaluation of human exposure to wholebody vibration—Part 1: General requirements [S]. Geneve, Switzerland: International Organization for Standardization, 1997.
[19] Cole D J, Cebon D. Truck suspension design to minimize road damage [J]. Proceedings of the Institute of Mechanical Engineers, Part D: Journal of Automobile Engineering, 1996, 210(2): 95-107.
[20] International Organization for Standardization. ISO 8068 Mechanical vibration—Road surface profiles—Reporting of measured data [S]. Geneve, Switzerland: International Organization for Standardization, 1995.
[21] Tsampardoukas G, Stammers C W, Guglielmino E. Hybrid balance control of a magnetorheological truck suspension [J]. Journal of Sound and Vibration, 2008, 317(3/4/5): 514-536. DOI:10.1016/j.jsv.2008.03.040.

Memo

Memo:
Biographies: Nguyen Van Liem(1986—), male, graduate; Zhang Jianrun(corresponding author), male, doctor, professor, zhangjr@seu.edu.cn.
Foundation items: The Science and Technology Support Program of Jiangsu Province(No.BE2014133), the Prospective Joint Research Program of Jiangsu Province(No.BY2014127-01).
Citation: Nguyen Van Liem, Zhang Jianrun, Le Van Quynh, et al. Performance analysis of air suspension system of heavy truck with semi-active fuzzy control[J].Journal of Southeast University(English Edition), 2017, 33(2):159-165.DOI:10.3969/j.issn.1003-7985.2017.02.006.
Last Update: 2017-06-20