Hybrid intelligence optimal control for operation of complex industrial processes

This talk firstly introduces the research stare-of-art and existing problems for optimal operation of industrial processes, and then presents the meanings for optimal operation control. In view of the characteristics of complex industrial processes, a hybrid intelligent control method for optimal operation is proposed, which is composed of a control loop pre-setting model, a feed-forward and feedback compensators, a production index prediction model, and a fault working-condition diagnosis unit plus a fault-tolerant control model. When production condition and working condition changes, this method can adjust the set points of control loops adaptively so that production index can be controlled in its target range. An application case study of this method in the roasting process of a shaft furnace for the ore concentration industry is also presented.