Inverse Decoupling Fuzzy Active Disturbance Rejection Control for Supercritical CO₂ Extraction

Abstract

Aiming at the problem of strong coupling and time-delay issues in temperature-pressure control of supercritical CO 2 extraction system, an inverse decoupling fuzzy active disturbance rejection control method based on pole approximation is proposed. Firstly, by approximating the time-delay link of the controlled subsystem using pole approximation, the matching degree of the two-input signals of the linear extended state observer (LESO) is improved. Secondly, an inverse decoupling time-synchronized active disturbance rejection control method is proposed to address the coupling link of temperature-pressure as well as the complex control environments and numerous disturbances. Furthermore, the controller parameters are tuned using bandwidth method and fuzzy control rules, and theoretical analysis of this method is conducted. In addition, comparative simulations are conducted to validate this method against other approaches. The results indicate that this method exhibits better tracking performance, disturbance rejection capability, and robustness in temperature-pressure control of supercritical CO 2 extraction systems. Finally, the practical feasibility of this method is verified through experimental validation on a test platform.