Inicio  /  Applied Sciences  /  Vol: 13 Par: 19 (2023)  /  Artículo
ARTÍCULO
TITULO

A Parameter Self-Tuning Decoupling Controller Based on an Improved ADRC for Tension Systems

Guoli Ju    
Shanhui Liu    
Keliang Wei    
Haodi Ding and Chaoyue Wang    

Resumen

Aiming at the problems of strong coupling and time-varying parameters in the tension systems of roll-to-roll coating machines, this paper outlines the design of a parameter self-tuning decoupling controller based on an improved active disturbance rejection controller (ADRC) for tension systems. First, we established a nonlinear coupled model for a global tension system based on the roll-to-roll coating machine tension constituent unit and working principle. Second, we introduced virtual quantities and actual control quantities; then, we applied an ADRC for decoupling control of the tension system based on a nonlinear coupling model, using a genetic algorithm (GA) to achieve parameters tuning in the ADRC. Finally, both the traditional proportional?integral?differential (PID) controller and the designed controller were simulated to evaluate their anti-interference and decoupling performance. Furthermore, the performances of several controllers were compared to the results obtained by other researchers. The result found that the parameter self-tuning decoupling controller based on an improved ADRC for tension systems exhibited better decoupling control performance and that the controller was able to achieve precise control of tension.

 Artículos similares

       
 
Kasper Jessen, Kasper Laugesen, Signe M. Mortensen, Jesper K. Jensen and Mohsen N. Soltani    
Floating offshore wind turbines are complex dynamical systems. The use of numerical models is an essential tool for the prediction of the fatigue life, ultimate loads and controller design. The simultaneous wind and wave loading on a non-stationary found... ver más
Revista: Applied Sciences