论文部分内容阅读
文章首先介绍了网络化控制技术模型装置的设计,分别阐述了控制实验模型的整体设计和以太网控制系统的设计。上层监控软件采用LabVIEW图形化开发环境设计。然后针对参数整定过程中出现的困难,提出了将神经网络模糊PID自整定技术应用到该系统中的方案。该模型装置包含了工程应用中许多控制参数,可以满足不同程度的仿真实验和研究需要。
The article first introduces the design of networked control technology model device, and expatiates on the overall design of control experiment model and the design of Ethernet control system respectively. Upper monitoring software using LabVIEW graphical development environment design. Then, according to the difficulties in parameter setting process, a scheme of applying neural network fuzzy PID self-tuning technology to the system is proposed. The model device contains many control parameters in engineering applications, to meet different levels of simulation experiments and research needs.