Extended Kalman filter and Takagi-Sugeno fuzzy observer for a strip winding system

作者：

Highlights：

• A detailed mathematical model of a Strip Winding System (SWS) is derived.

• The bump-less switching between three control algorithms is ensured.

• An extended Kalman filter approach for the SWS is designed.

• A Takagi-Sugeno Fuzzy Observer (TSFO) for the SWS is designed.

• Linear matrix inequalities are involved in the design of the TSFO.

摘要

•A detailed mathematical model of a Strip Winding System (SWS) is derived.•The bump-less switching between three control algorithms is ensured.•An extended Kalman filter approach for the SWS is designed.•A Takagi-Sugeno Fuzzy Observer (TSFO) for the SWS is designed.•Linear matrix inequalities are involved in the design of the TSFO.

论文关键词：Extended Kalman filters,Low-cost automation,Mechatronics,Nonlinear observers,Strip winding systems,Takagi-Sugeno fuzzy observers,Variable parameters

论文评审过程：Received 16 May 2022, Revised 8 July 2022, Accepted 16 July 2022, Available online 22 July 2022, Version of Record 31 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118215