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The combination of artificial intelligence technology and automatic control is a trend in the development of automation control systems. Therefore, a generative artificial intelligence automation control system based on ChatGPT is designed. The system is divided into five parts, and the input layer inputs user control information into the system through forms such as voice, text, and images; ChatGPT processing layer: uses neural semantic analysis algorithm to analyze the semantics of user input control information, extract user intent and requirements, and generate corresponding control instructions; The instruction generation layer is responsible for converting the control instructions generated by ChatGPT into specific control signals and transmitting them to the control execution layer. The fuzzy PID controller is used to achieve automatic control of the controlled target; The learning optimization layer collects and analyzes user behavior and feedback, as well as the operating status of controlled targets, in order to learn and optimize the ChatGPT model. The experimental results show that the system can effectively analyze the semantics of input control information, and the problem matching degree and context related interaction matching degree of the analysis results reach 97% and 91% respectively, and can accurately control the action of the controlled target.