Model-free Adaptive Tension Control of New Energy Vehicle Winding Machine


연구 분야: Software Development



학회: 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)


초록

In this paper, a tension data-driven control method for compressor motor production equipment of new energy vehicles is proposed, which is mainly used to solve the problems of loose winding and uneven distribution of enameled wire caused by difficult modeling and low precision of tension control in the process of tension control of compressor motor production equipment of new energy vehicles.The proposed model-free adaptive control method avoids the difficulty of modeling the traditional winding machine. By comparing with the existing methods, the results show that the dynamic performance and steady-state performance of the winding machine control system are effectively improved, and the tension control accuracy is improved.


Author Profile
Chenglin Mu

The College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China

Andorra
Author Profile
Wenlong Yao

The College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China

Andorra
Author Profile
Ronghu Chi

The College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China

Andorra

📄 논문 정보

발행 연도 2023년
인용수 1
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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