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The Research on Self-Adaptive Neural Network Control in NJ2045 Traction Control System

Author: LiuXia
Tutor: LiYouDe
School: Jilin University
Course: Vehicle Engineering
Keywords: Traction control Neural Networks Adaptive control Simulation Hardware in the Loop
CLC: U463
Type: Master's thesis
Year: 2005
Downloads: 155
Quote: 4
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Abstract


Automotive traction control system (TractionControlSystem, abbreviated as TCS) is at the very start , the vehicle accelerated prevent the drive wheels when climbing excessive slip occurs , in order to get maximum traction and optimum handling stability of an active control system . The traction control system developed by the specialized foreign automotive technology development company . To carry out research in this area has important implications for to master independent intellectual property rights , to break the monopoly of foreign technology . The artificial neural network is the use of engineering and technical means to simulate the human brain network structure and function of a technical system . Control based on neural network called neural network control information distributed memory , parallel processing and self - learning ability , etc. , has a broad application prospects in the field of intelligent control . Learn from research at home and abroad on the basis of to NJ2045 prototypes based , the establishment of a traction control system simulation model ; to determine adaptive neural network control method of automotive traction control system , in a variety of conditions , the offline simulation simulation and hardware-in- loop test , the control method validation , debugging prove the effectiveness of the control method .

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CLC: > Transportation > Road transport > Automotive Engineering > Automotive structural components
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