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Mathematical Problems in Engineering
Volume 2013, Article ID 275060, 10 pages
Research Article

An Initial Value Calibration Method for the Wheel Force Transducer Based on Memetic Optimization Framework

1School of Instrument Science and Engineering, Southeast University, China
2School of Mechanical and Electrical Engineering, China University of Petroleum, China

Received 21 August 2013; Revised 2 October 2013; Accepted 10 October 2013

Academic Editor: Gelan Yang

Copyright © 2013 Guoyu Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Some initial values of the wheel force transducer (WFT) change after being mounted in the vehicle. The traditional static calibration is inadequate to fully obtain these initial values. Aiming to this problem, an online initial value calibration method is proposed. The method does not require any additional calibration equipment or manual operation and just requires the vehicle mounted with the WFT to be driven on a flat road with constant speed. In this way, an initial value mode is constructed and then converted to an optimization problem. To solve this problem and acquire the right initial value, an improved Memetic framework based on particle swarm optimization (PSO) and Levenberg-Marquardt (LM) is adopted. To verify the effect of the proposed method, the real WFT data is used and the comparative test is carried out. The experiment result shows that the proposed method is superior to the traditional one and can improve the measurement accuracy effectively.