Earticle

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

키워드

저자

• Yongjing Huang [ School of Manufacturing Science and Engineering, Sichuan University, Department of Electronic Information and Electric Engineering, Chengdu Textile College ]
• Jin Yao [ School of Manufacturing Science and Engineering, Sichuan University ]
• Jiahua Han [ School of Manufacturing Science and Engineering, Sichuan University ]
• Hua Li [ School of Manufacturing Science and Engineering, Sichuan University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605