Intelligent and Hybrid Systems of Process Control: Theory, Methods, Applications

Abstract

This paper proposes a method of creating automated systems of optimal process control, based on using modern intelligent technologies. As shown by long-term experience, the traditional methods of mathematical modelling do not allow for the creation of effective system of optimal control due to their low adequacy. Instead of creation of mathematical models of process technologies, it is proposed to create intelligent models (algorithms) of control over process technologies, based on experience, knowledge and intuition of process control operators. Meanwhile, instead of generally accepted production rules, it is proposed to form a planning matrix of full factorial experiment (FFE). The planning matrixes of FFE are formed by execution of mental (thought) experiments, which significantly reduces the terms and simplifies the development of optimal control system. The proposed method has been tested on the basis of example on development of system on optimal control over the granulation (pelletizing) process – one of the most widely used in the metallurgical and chemical industries. Achieved algorithms showed sufficient high efficiency for practice.

DOI: 10.5901/mjss.2015.v6n1s1p627