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http://dx.doi.org/10.5394/KINPR.2004.28.3.227

Absolute Vehicle Speed Estimation of Unmanned Container Transporter using Neural Network Model  

Ha, Hee-Kwon (Defense Quality Assurance Agency)
Oh, Kyeung-Heub (Defense Quality Assurance Agency)
Publication Information
Journal of Navigation and Port Research / v.28, no.3, 2004 , pp. 227-232 More about this Journal
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 supplies good results in normal conditions. But the estimation error in severe braking is discontented In this paper, we estimate the absolute vehicle speed of UCT(Unmanned Container Transporter) by using the wheel speed data from standard 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 10 algorithms are verified experimentally to estimate the absolute vehicle speed and one of them is perfectly shown to estimate the vehicle speed within 4％ error during a braking maneuver.
Keywords
vehicle dynamics control; absolute vehicle speed; radial symmetric basis function; neural network model; principal component analysis;
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1 Chen. S, Cowan. C. F. N and Grant. P. M, 'Orthogonal Least Square Learning for Radial Basis Function Networks,' IEEE Trans. on Neural Networks, Vol. 2, No.2, pp. 302-309, 1991   DOI   ScienceOn
2 Daiss. A. and Kiencke. U(l995), 'Estimation of Vehicle Speed Fuzzy-Estimation in Comparison with KalmanFlitering,' Proceedings of the 4th IEEE Conference on Control Applications, pp. 281-284   DOI
3 Kobayashi. K, Cheok. K and Watanabe K(l995), 'Estimation of Absolute Vehicle Speed using Fuzzy Logic Rule-Based Kalman Filter, 'Proceedings of American Control Conference, Seattle, Washington, pp. 3086-3090
4 Kiencke. U and Daiss. A(l994), 'Estimation of Tyre Friction for Enhanced ABS-Systems,' Proceedings of AVEC'94, International Symposium on Advanced Vehicle Control, pp. 515-520
5 Kyongsu. Y, Hedrick. J. K and Lee. S. C(l999), 'Estimation of Tire-Road Friction Coefficients Using Observer based Identifiers,' Vehicle System Dynamics, Vol. 31, pp. 233-261   DOI   ScienceOn
6 Massy. W. F(I965), 'Principle Component Regression in Exploratory Statistical Research,' Journal of the American Statistical Association, Vol. 60, pp. 234-246   DOI   ScienceOn
7 Pasterkamp. W and Pacejka H(l996), 'The Tyre as a Sensor to Estimate Friction,' Proceedings of AVEC'96, Interna-tional Symposium on Advanced Vehicle Control, pp. 839-853
8 송철기, 황진권, J.K.Hendrick(2002), '퍼지로직을 이용한 차량 절대속도 추정' 한국자동차공학회 논문집 제10권 제1호, pp.281-284