Intelligent Self-learning System of AMT Gear Position

摘要

This essay makes an analysis of shift principle and the location distribution of the gear of the AMT system without shift actuator. According to the self-study theory, we exploit an intelligent gear position self-study system and try to figure out the problems of finding the certain gear position because of the factors like assembly error, process error and abrasion. The innovative point is that it can improve the accuracy and robustness of the electric shift actuator and the success rate of shifting and achieve the fast and accurate control of shifting of the AMT system.