Paper Titles
Research of ADRC in Application to the Servo System of Self-Propelled Gun
p.730
Simulation of Fuzzy PID Control for a Large Containership Speed at Slow Steaming Condition
p.734
Fuzzy Tuning PID Control of the Rolling Mill Main Drive System
p.739
Analysis and Evaluation of Non-Singularity Workspace of Parallel Manipulator
p.743
The Implementation of Skyhook Control for Semi-Active Suspension Based on Vi-CarRealTime
p.748
Design and Simulation of the Hydraulic Synchronous Control System of the Upper Roller in Bending Machine
p.752
Research on Flux Damping Control Strategy of DFIG during Grid Voltage Dips
p.756
The Reliability Analysis of Mechanical Leg (2UPS+UP) Based on a Discrete Time Repairable Markov Model
p.760
Research of Control System of the Large-Scale Blow Molding Machine
p.764

The Implementation of Skyhook Control for Semi-Active Suspension Based on Vi-CarRealTime

Article Preview

Abstract:

The research of semi active suspension control strategy once was a hot point in the field of automobile suspension [2, 3], but it is difficult to achieve for most of them. I choose VI-CarRealTime to build vehicle model based on ADAMS vehicle model. Kalman Filter designed based on 1/2 vehicle model supply control signals for controller. Considering characteristics of CDC damper, Skyhook control strategy is applied for simulation, the simulation results show that, Skyhook Control can improve vehicle ride comfort in CDC damper control range.

You might also be interested in these eBooks
Mechatronics Engineering and Modern Information Technologies in Industrial Engineering View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

748-751

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.748

Citation:

Cite this paper

Online since:

January 2015

Authors:

Bo Wei Bi*, Fang Xiao

Keywords:

Kalman Filter, Skyhook-Control, Vi-CarRealTime

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Yu Miao: Study on control system of semi-active suspension [J]. Chongqing; automobile MR Chongqing University, 2003. Chongqing, China).

Google Scholar

[2] Jordan T C, Shaw M T. Electro-rheology[D]. IEEE Transactions on Electrical Insulation, 1989，24(J): 819-8 78.

Google Scholar

[3] Gravatt J W. Magneto-rheology damper for super-sport motorcycle applications [D]. Blacksburg, USA: Virginia Polytechnic institute and State University, (2003).

Google Scholar

[4] Abdelhady M.B. A, Eldemer dash S. M: Adaptive Control Strategy of a Kalman Filter Active Vehicle Suspension SAE TECHNICAL PAPER SERIES 2003-01-1413.

DOI: 10.4271/2003-01-1413

Google Scholar

[5] Laura M. Jansen, Shirley J. Dyke: Semiactive Control Strategies for MR Dampers: Comparative Study [J]. Journal of Engineering Mechanics . 2000 (8).

DOI: 10.1061/(asce)0733-9399(2000)126:8(795)

Google Scholar

[6] VI-grad: VI-CarRealTime 15. 0 Document.

Google Scholar

[7] VI-grad: VI-Animator 15. 0 Document.

Google Scholar

[8] Mathworks: Simulink User's Guide.

Google Scholar

[9] Lord Corporation. Magneto rheological (MR) Fluid for Automotive Damping Systems. the ⅡSuspension and Damping Conference.

Google Scholar

[10] CLLETTE C, PREUMONT: A high frequency energy transfer in semi-active suspensions. Jornal of Sound and Vibration . (2010).

Google Scholar

[11] M. Eltantawie. Decentralized neuro-fuzzy control for half car with semi-active suspension system[J]. International Journal of Automotive Technology . 2012 (3).

DOI: 10.1007/s12239-012-0039-y

Google Scholar

[12] Ozgur Demir, Ilknur Keskin, Saban Cetin. Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach[J]. Nonlinear Dynamics . 2012 (3).

DOI: 10.1007/s11071-011-0135-y

Google Scholar