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International Journal of Automotive Technology

, Volume 20, Issue 6, pp 1161–1171 | Cite as

Optimization Control of CVT Clutch Engagement Based on MPC

  • Ling HanEmail author
  • Hongxiang Liu
  • Jinwu Wang
  • Shaosong Li
  • Leilei Ren
Article
  • 16 Downloads

Abstract

As an important part of continuously variable transmission (CVT) vehicle power transmission system, drive, neutral and reverse (DNR) wet clutch has the function of transmitting or interrupting vehicle power. However, due to the complex and variable working conditions of the clutch, it is difficult to achieve precise control of the clutch by the traditional control strategy. To solve this problem, a clutch control optimization algorithm based on model predictive control (MPC) is proposed. In order to identify and track the driver's launching intentions, a driver's launching intentions recognition system based on fuzzy neural network (FNN) is designed. The impact degree and friction work are taken as the evaluation standard of clutch control. The clutch controller is designed by using MPC control strategy, and the control effect is compared with the adaptive fuzzy neural network (AFNN) strategy. Finally, the validity of the control strategy is verified by simulation model and vehicle test. The results show that compared with the AFNN control strategy, the MPC control strategy can effectively control the clutch engagement and improve the vehicle launching quality.

Keywords

Automotive engineering Time-varying launching intention CVT MPC Nonlinear system 

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Notes

Acknowledgement

The authors are very grateful to the China government by the support of this work through National Natural Science Foundation of China (Grant No. 51905044), the Jilin Province Excellent Youth Talent Fund Project (20180520070JH) and the Development and Reform Commission of Jilin Province (2019C054-9).

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Copyright information

© KSAE/ 111-09 2019

Authors and Affiliations

  • Ling Han
    • 1
    Email author
  • Hongxiang Liu
    • 1
  • Jinwu Wang
    • 1
  • Shaosong Li
    • 1
  • Leilei Ren
    • 1
  1. 1.School of Mechatronic EngineeringChangchun University of TechnologyChangchunChina

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