The Application of Machine Vision in Inspecting Position-Control Accuracy of Motor Control Systems

摘要

In this paper, a new structured-light machine vision technique based on radial basis function (RBF) neural network is proposed and an inspection system is established. General structured-light machine vision technique is usually based on accurate mathematical model and has some unavoidable and inexpressible errors. The proposed new technique is based on the training and learning of high-accuracy samples and overcomes the disadvantages of general technique and considerably improves the accuracy of machine vision inspection systems. The experiment of applying this new technique to inspect the position-control accuracy of a step-motor controlled stage with one linear translation axis shows that the RBF artificial neural network (ANN) is quite suitable to structured-light machine vision inspection system and structured-light machine vision inspection technique is really a novel and effective means for the inspection of position-control accuracy of motor control systems.