基于ChatGPT的生成式人工智能自动化控制系统
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南京航空航天大学信息化技术中心

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Generative Artificial Intelligence Automation Control System Based on ChatGPT
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    摘要:

    将人工智能技术应用于自动控制相结合是自动化控制系统发展的趋势,因此,设计基于ChatGPT的生成式人工智能自动化控制系统。系统划分为五个部分,输入层通过语音、文本、图像等形式将用户的控制信息输入系统内;ChatGPT处理层:采用神经语义分析算法分析用户输入的控制信息的语义,提取用户意图与需求,生成相应的控制指令;指令生成层负责将ChatGPT生成的控制指令转化为具体的控制信号,并传输至控制执行层,利用模糊PID控制器实现被控目标的自动化控制;学习优化层收集和分析用户的行为和反馈,以及被控目标的运行状态,以此学习和优化ChatGPT模型。实验结果显示该系统能够有效分析输入控制信息的语义,分析结果的问题匹配度和上下文相关交互匹配度分别达到97%和91%以上,并且能够准确控制被控目标的动作。

    Abstract:

    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.

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何安元.基于ChatGPT的生成式人工智能自动化控制系统计算机测量与控制[J].,2024,32(9):142-148.

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  • 收稿日期:2024-02-27
  • 最后修改日期:2024-03-28
  • 录用日期:2024-03-29
  • 在线发布日期: 2024-10-08
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