Application Modeling of Intelligent Technology in Electrical Automatic Control Engineering

For a long time, as the cornerstone of world economic development, steel industry has been rapid development. The industry is involved in all aspects of social life, including production costs, development potential, mineral resources, market demand, energy consumption and social benefits. In this paper, the genetic algorithm is applied to the intelligent control model and an adaptive learning process is established. The experimental results show that the control model has better prediction accuracy and can be used to effectively predict the electrical operation control.