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Convergence analysis on a tracking differentiator used in active disturbance rejection control.
Zhang, Huixia; Liang, Yan; Cheng, Haiyan.
Affiliation
  • Zhang H; School of Automation, Northwestern Polytechnical University, Xi'an, 710072 China. Electronic address: zhanghuixia@mail.nwpu.edu.cn.
  • Liang Y; School of Automation, Northwestern Polytechnical University, Xi'an, 710072 China. Electronic address: liangyan@nwpu.edu.cn.
  • Cheng H; School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China. Electronic address: chenghaiyan@stu.xjtu.edu.cn.
ISA Trans ; 141: 392-400, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37481440
ABSTRACT
This paper presents convergence analysis for a tracking differentiator of an active disturbance rejection control method which is widely applied but lacks theoretical analysis. Since a nonlinear piecewise function is used in the tracking differentiator, the convergence analysis is difficult for tracking errors. Convergence proof processes of the tracking differentiator are divided into three situations based on the nonlinear piecewise function. Tracking errors of the tracking differentiator are proved to be uniformly ultimately bounded considering three situations, and relationships between upper bounds of tracking errors and adjustment parameters are founded by a Lyapunov approach, which provides a basis for parameters adjustment. Finally, simulation and experiment results verify the effectiveness of the proposed convergence analysis.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ISA Trans Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ISA Trans Year: 2023 Document type: Article