fuzzy inference system

The electrical mode (ER) of arc steel-melting furnaces (ASF) is characterized by a dynamic, random, non-stationary, phase-by-phase asymmetric and phase-by-phase interconnected nature of the change. Control takes place in the conditions of incomplete information about the state of the ER and the technological process and changes in the parameters of the elements of the power circuit and the three- phase system of arcs.

In this paper a fuzzy-based crane control system for managing load swings during crane movement is presented. It is reviewed the main difficulties of constructing control system using traditional control models. Additionally, principles of construction PID controllers and their advantages and disadvantages over fuzzy systems are analyzed. Intelligent control systems and their appliance are revised for further usage in crane control system