基于神经网络的车辆制造焊接流水线工业机器人控制模型

Control Model of Industrial Robots for Vehicle Manufacture and Welding Assembly Based on Neural Network

以KR60型工业机器人在生产流水线上的应用为研究背景,建立了机器人的运动学模型,并结合车辆制造焊接流水线,建立了基于回归分析和BP神经网络算法的自适应智能控制模型.该模型结合生产实际,是对机器人智能控制研究进行的尝试.

Taking the application of KR60 robot in the welding line as research background, this paper builds robot＇s kinetic model. Combined with the actual production, this paper sets up an adaptive model of intelligent control on the basis of regression analysis and BP neural networks through large amount of testing and computing, which is an attempt to study the intelligent control over robot based on actual production.