It refers to the study of the laws, phenomena, mechanisms, and models related to the stability of chemical separation or reaction processes.
Stability analysis is a systematic method for researching the stability laws, phenomena, and mechanisms in chemical separation or reaction processes. Its core lies in evaluating the impact of disturbances on the system state and its recovery ability, which directly affects product quality and process safety [3].
This method covers technical directions such as multi-stable phenomenon analysis and dynamic behavior regulation, and commonly used tools include control methods based on Lyapunov stability theory and models of super entropy generation criteria [3-4] [6]. In the verification of measured data from cigarette making process, the accuracy of parameter stability identification reached 72.46% [2]. Nonlinear thermodynamic processes can be determined for stability through the second-order super entropy δ2S as the Lyapunov function [6].
Theoretical research originated from the framework of nonlinear thermodynamic stability analysis. The design of Lyapunov functions combined with sliding mode variable structure control methods improved the control accuracy of pH processes [4]. The establishment of the super entropy generation criterion model provided a universal theoretical basis for the multi-stable analysis of reaction distillation systems [5-6], and the AMMI model significantly enhanced the credibility of variety stability analysis compared to the LR model.