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

Author

Listed:
  • Guoyu Lin
  • Weigong Zhang
  • Fan Yang
  • Han Pang
  • Dong Wang

Abstract

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.

Suggested Citation

  • Guoyu Lin & Weigong Zhang & Fan Yang & Han Pang & Dong Wang, 2013. "An Initial Value Calibration Method for the Wheel Force Transducer Based on Memetic Optimization Framework," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-10, November.
    • Handle: RePEc:hin:jnlmpe:275060
    DOI: 10.1155/2013/275060
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