Intelligent Control Laboratory

项目目标是建设一个跨学科的本科智能控制实验室。该实验室以适应软计算设计技术的最新进展为基础，如神经网络（NN），模糊逻辑（FL）和神经模糊算法。实验室设计强调创造基于工业应用的实验。工业设计思想、概念和创新技术，已经在一个完全自动化的电子组装工厂中被利用和展示，将被纳入实验室设计。该项目包括在几个不同的过程中学习经验，以实验室的工作站为代表，包括直流伺服系统、热训练器、倒立摆、X-Y工作台和视觉组件检测站。每个工作站包含一个带有a /D、D/ a、帧采集接口的微型计算机和六个实验装置。设计性能、鲁棒性、周期时间和其他设计参数的影响将由本科生进行研究。在实时控制回路中使用具有软计算能力的数字计算机反映了这些技术在工业应用中的迅速增加。

The project objective is the construction of an interdisciplinary undergraduate intelligent control laboratory. The laboratory is based on the adaptation of recent advances in soft computing design techniques such as Neural Networks (NN), Fuzzy Logic (FL) and Neurofuzzy algorithms. The laboratory design emphasizes creating experiments that are based on industrial applications. Industrial design ideas, concepts and innovative techniques that have already been utilized and demonstrated in a fully automated electronic assembly factory are to be incorporated into the laboratory design. The project includes learning experiences in several different processes, represented by stations in the laboratory, including DC Servo Systems, Heat Trainers, Inverted Pendulums, X-Y Tables and Visual Component Inspection Stations. Each station contains a microcomputer with A/D, D/A , Frame Grabber interfaces and six experimental setups. The effect of design performance, robustness, cycle time and other design parameters are to be investigated by the undergraduate students.The use of a digital computer with soft computing capability in a real-time control loop reflects the rapidly increasing use of these techniques for industrial applications.