원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper introduces the shift schedule of saving energy to keep the torque converter working high-efficiency. The author carries on the further study of saving energy shift theory, and presents the control method of saving energy shift schedule. At the same time, this paper expounds how to use the shift theory and puts forward the control method of saving energy shift schedule. At last, the author expounds how to use the delayed shift to solve the problem of shift cycle, so as to ensure the accuracy of the automatic shift control.
목차
Abstract
1 Introduction
2 Problem statement
3 Optimal control of automatic gearshift operations by AGANN
3.1 Structure optimization of RBF neural network
3.2 Adaptive Genetic optimization algorithm
3.3 AGA-NN: adaptive genetic algorithm-based neural network
3.4 Design the control system
4 Simulation and result discussion
4.1 The automatic transmission shift model
4.2 Clutch control
5 Conclusion
6 Acknowledgements
References
1 Introduction
2 Problem statement
3 Optimal control of automatic gearshift operations by AGANN
3.1 Structure optimization of RBF neural network
3.2 Adaptive Genetic optimization algorithm
3.3 AGA-NN: adaptive genetic algorithm-based neural network
3.4 Design the control system
4 Simulation and result discussion
4.1 The automatic transmission shift model
4.2 Clutch control
5 Conclusion
6 Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보