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Automotive Engineering ›› 2021, Vol. 43 ›› Issue (6): 891-898.doi: 10.19562/j.chinasae.qcgc.2021.06.013

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Adaptive Shifting Control for Data Driven Dual Clutch Transmission

Yonggang Liu1,2(),Jingchen Zhang1,2,Yougang Wan1,2,Dongye Sun1,2,Datong Qin1,2   

  1. 1.Chongqing University,State Key Laboratory of Mechanical Transmission,Chongqing 400044
    2.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044
  • Received:2020-12-25 Online:2021-06-25 Published:2021-06-29
  • Contact: Yonggang Liu E-mail:andyliuyg@cqu.edu.cn

Abstract:

A data driven model?free adaptive control method is proposed to solve the problem that the shifting quality of dual clutch transmissions (DCT) deteriorates when internal and external interference exist or system state changes with the service time. First of all, the real vehicle tests are carried out to collect the data of DCT shifting process, and the clutch speed reference curve with relatively good shifting quality is selected by statistics after denoising. Then, a dynamic data model of DCT system is established by designing pseudo?partial derivative estimation method, and a data driven controller for shifting process is designed to follow the clutch reference speed based on model?free adaptive control method. Finally, the simulation model of DCT shifting process is established to verify the proposed controller under different throttle opening. The results show that the proposed method can ensure good shifting quality when internal and external interference exist or systematic state changes. Therefore, the proposed controller has great adaptive ability and robustness.

Key words: dual clutch transmissions, shifting control, data driven, tracking control, adaptive control