The Linkage Mechanism with Clearance Modeling Based on Neural Network and its Intelligent Control

摘要

Using the traditional control method is difficult to obtain the ideal control result, because the linkage mechanism with clearance is a strongly nonlinear system, and it is difficult to establish the accurate mathematical model. In response to these problems, take the linkage mechanism with clearance for example and establish BP neural network offline modeling, on the basis of the experimental sample data. We separately applied the neural network internal model control and the parameters self-adjusting fuzzy control to reduce the nonlinear error caused by the clearance. The experimental results show that using intelligent control technology, the system stability has been significantly improved, and the system error has been reduced effectively.