Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Absolute Vehicle Speed Estimation using Neural Network Model

신경망 모델을 이용한 차량 절대속도 추정

  • Oh, Kyeung-Heub (Graduate School of Gyeongsang National University) ;
  • Song, Chul-Ki (Dept.of Mechanical Aircraft Engineering College, Gyeongsang National University)
  • 오경흡 (경상대학교 대학원(국방품질관리소)) ;
  • 송철기 (경상대학교 기계항공공학부)
  • Published : 2002.09.01
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Abstract

Vehicle dynamics control systems are. complex and non-linear, so they have difficulties in developing a controller for the anti-lock braking systems and the auto-traction systems. Currently the fuzzy-logic technique to estimate the absolute vehicle speed is good results in normal conditions. But the estimation error in severe braking is discontented. In this paper, we estimate the absolute vehicle speed by using the wheel speed data from standard 50-tooth anti-lock braking system wheel speed sensors. Radial symmetric basis function of the neural network model is proposed to implement and estimate the absolute vehicle speed, and principal component analysis on input data is used. Ten algorithms are verified experimentally to estimate the absolute vehicle speed and one of those is perfectly shown to estimate the vehicle speed with a 4% error during a braking maneuver.

Keywords

References

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