Hybrid Intelligent MPC In Industry

Abstract

The paper deals with current research challenges in modeling and constrained predictive control as applied to a nonlinear process used in chemical industry (chemical reactor for polypropylene production), and mainly focusing on AI-based or soft computing methods. Based on a combination of the classical approach to modeling of a complex nonlinear process with hybrid dynamics and SC control methods, a prediction model is obtained and subsequently used in the process of solving the optimization problem of constrained predictive control and applied to a simulation model of a reactor used in petrochemical industry.