Optimal shifting control strategy in inertia phase of an automatic transmission for automotive applications

Fei Meng, Gang Tao, Tao Zhang, Yihuai Hu, Peng Geng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

66 Citations (Scopus)

Abstract

Shifting quality is a crucial factor in all parts of the automobile industry. To ensure an optimal gear shifting strategy with best fuel economy for a stepped automatic transmission, the controller should be designed to meet the challenge of lacking of a feedback sensor to measure the relevant variables. This paper focuses on a new kind of automatic transmission using proportional solenoid valve to control the clutch pressure, a speed difference of the clutch based control strategy is designed for the shift control during the inertia phase. First, the mechanical system is shown and the system dynamic model is built. Second, the control strategy is designed based on the characterization analysis of models which are derived from dynamics of the drive line and electro-hydraulic actuator. Then, the controller uses conventional Proportional-Integral-Derivative control theory, and a robust two-degree-of-freedom controller is also carried out to determine the optimal control parameters to further improve the system performance. Finally, the designed control strategy with different controller is implemented on a simulation model. The compared results show that the speed difference of clutch can track the desired trajectory well and improve the shift quality effectively.

Original languageEnglish
Pages (from-to)742-752
Number of pages11
JournalMechanical Systems and Signal Processing
Volume60
DOIs
Publication statusPublished - 1 Aug 2015

Keywords

  • Automatic transmission
  • Automotive
  • Inertia phase
  • Shift control

Fingerprint

Dive into the research topics of 'Optimal shifting control strategy in inertia phase of an automatic transmission for automotive applications'. Together they form a unique fingerprint.

Cite this