| 무인 컨테이너 운송차량의 절대속도 추정을 위한 뉴럴 네크워크 모델 적용 |
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하희권, 오경흡 |
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| Absolute Vehicle Speed Estimation of Unmanned Container Transporter using Neural Network Model |
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Hee-Kwon Ha, Kyeung-Heub oH |
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| Abstract |
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Vehicle dynamics control systems are complex and non-linear, so they have difficulties in developing a cantroller 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(Tnmanned Container Transporter) by using the wheel speed data from standard anti-lick 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. |
| Key Words:
vehicle dynamics control;absolute vehicle speed;radial symmetric basis function;neural network model;principal component analysis |
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