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지강훈(Kanghoon Ji),정광영(Kwangyoung Jeong),노기한(Kihwan No),최형진(Hyungjin Choi),김성관(Sung-Gaun Kim) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper presents a engine based TCS(Traction Control System) using neural network control methods for wheel slip control. The proposed NNPI(Neural Network PI) controller operates at throttle angle to improve the performance of wheel slip. The NNPI controller consists of multi-hidden layer neural network structure and PI control strategy for self-learning of gain scheduling. Computer Simulation have been performed to verify the proposed NNPI control scheme for vehicle wheel slip control using 17 dof vehicle dynamic model which is implemented in MATLAB Simulink.