Fuzzy Optimization in Discrete-Continuous Control Systems for Multiple-Operation Technological Processes

Abstract

A numerical method for designing operating software for digital controllers of hybrid discrete-continuous control systems is considered. The method is based on implementing control algorithms on digital controller in the form of rule-based systems and uses a fuzzy optimization procedure to define controller operation rules. The continuous part of hybrid control systems consists of multiple-operation technological chains, which are nonlinear, multidimensional and multi-loop plants, and the discrete part consists of digital controllers. The developed digital controllers ensure satisfaction of the most general requirements for controlled processes, including fuzzy ones.