Abstract
To successfully address the issues confronting current electrical engineering, a control system based on artificial intelligence technology is designed. The paper presents a model of an electrical automation control system based on an artificial intelligence algorithm. The control parameters are optimized by implementing a control method based on an artificial intelligence algorithm. The research findings indicate that when 20 % load interference and 2.1 Hz frequency interference are present, the turbine's highest failure rate under system control is 0.02, showing that the system has a good anti-interference capability. As a result, the use of artificial intelligence algorithms for autonomous control of electrification can significantly increase control reaction time, reduce costs, and produce more efficient production.
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