Model Parameter Identification of Tire Dynamic Balance Detection System

Jing Fang Yang; Xian Ying Feng; Hong Jun Fu; Shi Gang Mu

doi:10.4028/www.scientific.net/AMM.157-158.731

Paper Titles

Development and Validation of a Thermodynamic Model for Predicting Traffic-Related Pollutants Dispersion in Urban Street Canyons under Low Wind Speed Conditions
p.710

The Geometric and Material Nonlinear Analysis of the Bioprosthetic Heart Valve
p.714

Research on Aluminum Plate Reversible Hot-Rolling Mathematical Model and Schedule
p.719

A Program Designed for the High-Speed Gearbox Test-Bed Based on LabVIEW
p.727

Model Parameter Identification of Tire Dynamic Balance Detection System
p.731

Optimum Design of the Jaw Clamping Mechanism of Forging Manipulators Based on Force Transmissibility
p.737

The Open Colliery Slope Mechanics Stability Analysis and Forecasting Methods Reasearching
p.743

Adaptive Resource Management for Cyber-Physical Systems
p.747

Generalized Synchronization of Chaos in RCL-Shunted Josephson Junction with Uncertain Parameters
p.752

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 157-158Model Parameter Identification of Tire Dynamic...

Model Parameter Identification of Tire Dynamic Balance Detection System

Abstract:

Tire dynamic balance detection plays an important part in tire quality detection area. An accurate model structure and precise model parameters are the basis of the right test results. This paper builds a kinetic model based on engineering practice. To acquire parameters presents a method following identification theory. According to the need of actual production, a validation experiment is put forward. In the parameter identification process, data acquisition is completed by the PCI card. For data processing, this paper designs the fitting filter and then it also fetches the signal amplitude and phase with discrete Fourier transform. The results are proven to be right and practicable.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 157-158)

Pages:

731-736

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.157-158.731

Citation:

Cite this paper

Online since:

February 2012

Authors:

Jing Fang Yang, Xian Ying Feng, Hong Jun Fu, Shi Gang Mu

Keywords:

Data Acquisition (DAQ), Filter, Fourier Transform, Parameter Identification, Tire Dynamic Balance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Lennart Ljung, in: System Identification theory for the User, edtied by Tsinghua University Publishers (2002).

Google Scholar

[2] J. S. Kim, J. D. Moon, S. H. Lee. : A Study on the active balancing for high-speed rotors (Ⅱ). Control stability and application, Journal of KSPE, Vol. 19(4) (2002), P. 147-153.

Google Scholar

[3] Du Qiang: Algorithm and Control Methods of Tire Balancing Test Machine (Qingdao Science University, China, 2007).

Google Scholar

[4] Liu ziyi: System Identification of research and engineering applications (Beijing Chemical Technology University, China, 2009).

Google Scholar

[5] Vinay K, ingle and John G. in: Digital Signal Processing and Matlab implementation. edtied by Electronics Industry Press(1998).

Google Scholar

[6] Yu Chengbo, Yang Jing and Yang Rumin, in: Digital Signal Processing and Matlab implementation. edtied by Tsinghua University Press (2008).

Google Scholar

[7] Meng Qingfeng: Signal Feature Extraction Method and Applied Research (Xi'an Electronic Science and Technology University, China, 2006).

Google Scholar

[8] Yan Zhiwen: Research and Optimized Design on Tire Dynamic Balance Testing System Based on . Net Platform Architecture (Shandong University, China, 2011).

Google Scholar