Fuzzy Determination of Target Shifting Time and Torque Control of Shifting Phase for Dry Dual Clutch Transmission | Zendy

Zhiguo Zhao | Zendy; Haijun Chen | Zendy; Yunyun Yang | Zendy

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Fuzzy Determination of Target Shifting Time and Torque Control of Shifting Phase for Dry Dual Clutch Transmission

Author(s) -

Zhiguo Zhao,

Haijun Chen,

Yunyun Yang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/347490

Subject(s) - clutch , torque , control theory (sociology) , robustness (evolution) , fuzzy logic , manual transmission , torque converter , matlab , process (computing) , computer science , engineering , dual (grammatical number) , control (management) , control engineering , automotive engineering , artificial intelligence , art , biochemistry , chemistry , physics , literature , gene , thermodynamics , operating system

Based on the independently developed five-speed dry dual clutch transmission (DDCT), the paper proposes the torque coordinating control strategy between engine and two clutches, which obtains engine speed and clutch transferred torque in the shifting process, adequately reflecting the driver intention and improving the shifting quality. Five-degree-of-freedom (DOF) shifting dynamics model of DDCT with single intermediate shaft is firstly established according to its physical characteristics. Then the quantitative control objectives of the shifting process are presented. The fuzzy decision of shifting time and the model-based torque coordinating control strategy are proposed and also verified by simulating under different driving intentions in up-/downshifting processes with the DCT model established on the MATLAB/Simulink. Simulation results validate that the shifting control algorithm proposed in this paper can not only meet the shifting quality requirements, but also adapt to the various shifting intentions, having a strong robustness

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