Inverse Decoupling Fuzzy Active Disturbance Rejection Control for Supercritical CO2 Extraction

Aiming at the problem of strong coupling and time-delay issues in the temperature-pressure control of supercritical CO2 extraction systems, 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 the temperature-pressure control of supercritical CO2 extraction systems. Finally, the feasibility of this method in reality was verified through experimental platforms.