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基于ChatGPT的生成式人工智能自动化控制系统

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将人工智能技术与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;该系统划分为5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;在此基础上,指令生成层负责将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;控制后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;经实验测试,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。
Generative Artificial Intelligence Automation Control System Based on ChatGPT
Combining artificial intelligence technology with automatic control is a development trend in automatic control systems.Therefore,a generative artificial intelligence automatic control system based on ChatGPT is designed.The system is divided into five parts.The input layer inputs the user's control information into the system through voice,text,image and other forms.The ChatG-PT processing layer uses neurosemantic analysis algorithm to analyze the semantics of control information input by users,extract users'intentions and needs,and generate corresponding control instructions;On this basis,the instruction generation layer is respon-sible for converting the generated control instructions into the specific control signals and transmitting them to the control execution layer,and the fuzzy PID controller is used to realize the automatic control of the controlled target;After the control,the learning op-timization layer collects and analyzes the user's behavior and feedback,as well as the running state of the controlled object,so as to learn and optimize the ChatGPT model.After experimental testing,the results show that the system can effectively analyze the se-mantics of the input control information,and the question matching degree and context-related interactive matching degree of the anal-ysis results are above 97%and 91%,respectively,which can accurately control the actions of controlled targets.

ChatGPTgenerativeartificial intelligenceautomation controlsemantic analysisfuzzy PID

何安元

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南京航空航天大学信息化技术中心,南京 210016

ChatGPT 生成式 人工智能 自动化控制 语义分析 模糊PID

2022年中国高校产学研创新基金

2022TX009

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(9)
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