Control of the Catalytic Process With Self-Learning

The manuscript examines the problem of controlling a complex technological apparatus for chemical production, namely, a reaction apparatus for selective purification of the resulting fraction from microimpurities. A distinctive feature of similar reactors is their multidimensio-nality and multiconnectivity, exceptional complexity due to complications associated with catalyst poisoning, multiplicity of stationary states, temperature and concentration instability, distribution of parameters in space, hence the complexity of their assessment, vagueness of the qualitative nature the states and parameters operating in conditions of information deficiency.For this purpose, a concept and structure for controlling the catalytic process using the developed fuzzy logic controller is proposed. During the control process, the presented controller carries out both structural and parametric adaptation of linguistic rules table that describes possible situations that arise during control.