Study of Intelligent Prediction Control System in External Cylindrical Grinding

Abstract

An intelligent prediction control system for the external cylindrical grinding was developed. The prediction control worked with the expert system, the neural network and the fuzzy logic during the grinding process. First, during the rough grinding stage, the strategies of variety velocity grinding and high cut depth within the workpiece burning limit were adopted, which could significantly increase the grinding efficiency. Then, during the fine grinding stage, the prediction neural network and the fuzzy logic controller were used to optimize and control the workpiece size. Finally, during the spark-out grinding stage, the fuzzy-neural networks were used to predict and control workpiece surface roughness. The expert system based on neural network provided the initial grinding parameters for the above-mentioned grinding stages. The experiments were implemented, and the results show that the proposed intelligent prediction control system is feasible and has high grinding quality and efficiency

Cite this paper

@article{Ding2006StudyOI, title={Study of Intelligent Prediction Control System in External Cylindrical Grinding}, author={Ning Ding and Longshan Wang and Guofa Li and Jiazhong Wang}, journal={2006 6th World Congress on Intelligent Control and Automation}, year={2006}, volume={2}, pages={7929-7933} }