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Fuzzy Control of AMT Clutch Engagement during the Vehicle Starting

Liu Wen-guang, Ren He

Open publisher page 1 citations

Abstract

Clutch engagement process of automatic mechanical transmission is investigated during the process of starting the vehicle. The kinetics of clutch engagement is analyzed and the dynamical equation was deduced. Clutch engagement speed is changed by body load and road condition. A method of correcting the driving intention is proposed to adopt quality of vehicle conversion coefficient. The more fuzzy input parameters arouse the more control rules and increase computational load of ECU; the method of double fuzzy controller is brought forward to control speed of clutch engagement. Simulation of the model is carried out in Matlab/Simulink. Results show that fuzzy control rules with quality of vehicle conversion coefficient can effectively improve clutch engagement process.

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What this paper is about

Clutch engagement process of automatic mechanical transmission is investigated during the process of starting the vehicle. The kinetics of clutch engagement is analyzed and the dynamical equation was deduced. Clutch engagement speed is changed by body load and road condition. A method of correcting the driving intention is proposed to adopt quality of vehicle conversion coefficient. The more fuzzy input parameters arouse the more control rules and increase computational load of ECU; the method of double fuzzy controller is brought forward to control speed of clutch engagement. Simulation of the model is carried out in Matlab/Simulink. Results show that fuzzy control rules with quality of vehicle conversion coefficient can effectively improve clutch engagement process.

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Available abstract

Clutch engagement process of automatic mechanical transmission is investigated during the process of starting the vehicle. The kinetics of clutch engagement is analyzed and the dynamical equation was deduced. Clutch engagement speed is changed by body load and road condition. A method of correcting the driving intention is proposed to adopt quality of vehicle conversion coefficient. The more fuzzy input parameters arouse the more control rules and increase computational load of ECU; the method of double fuzzy controller is brought forward to control speed of clutch engagement. Simulation of the model is carried out in Matlab/Simulink. Results show that fuzzy control rules with quality of vehicle conversion coefficient can effectively improve clutch engagement process.

Key concepts: Clutch, Fuzzy logic, Control theory (sociology), Controller (irrigation), MATLAB, Process (computing), Fuzzy control system, Control (management)

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