2002北京理工大学学报:英文版Requires access

Study of Controlling Clutch Engagement for AMT Based on Fuzzy Logic

Tang Xia

Open publisher page 6 citations

Abstract

The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink, the transient characteristics during the vehicle starting, including the jerk and the clutch slip time, are provided here. Based on the analyses of the simulation results and driver's experiences, a fuzzy controller is designed to control the clutch engagement. Simulation results verify its value.

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What this paper is about

The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink, the transient characteristics during the vehicle starting, including the jerk and the clutch slip time, are provided here. Based on the analyses of the simulation results and driver's experiences, a fuzzy controller is designed to control the clutch engagement. Simulation results verify its value.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink, the transient characteristics during the vehicle starting, including the jerk and the clutch slip time, are provided here. Based on the analyses of the simulation results and driver's experiences, a fuzzy controller is designed to control the clutch engagement. Simulation results verify its value.

Key concepts: Clutch, Jerk, Fuzzy logic, Automatic transmission, Control theory (sociology), Fuzzy control system, Manual transmission, Engineering

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