STEADY-STATE HIERARCHICAL INTELLIGENT CONTROL OF LARGE-SCALE INDUSTRIAL PROCESSES

摘要

This paper considers the fourth stage of development of hierarchical control of industrial processes to the intelligent control and optimization stage, and reviews what the author and his Group have been investigating for the past decade in the on-line steady-state hierarchical intelligent control of large-scale industrial processes (LSIP). This paper gives a definition of intelligent control of large-scale systems first, and then reviews the use of neural networks for identification and optimization, the use of expert systems to solve some kinds of hierarchical multi-objective optimization problems by an intelligent decision unit (ID), the use of fuzzy logic control, and the use of iterative learning control. Several implementation examples are introduced. This paper reviews other main achievements of the Group also. Finally this paper gives a perspective of future development.