Fuzzy Controller Using a Predictive Control Model to Optimize the Parameters of the Caustic Soda Evaporation
摘要
This paper presents the development and study of a system for controlling the evaporation process of caustic soda using a model predictive control (MPC) and fuzzy logic. The main goal is to optimize temperature regimes and improve the system’s adaptation to external disturbances to enhance the quality and reliability of the production process. As a result of this work, a control system for the caustic soda evaporation process was implemented, demonstrating high efficiency in maintaining stable temperature regimes and adapting to external disturbances.