简体中文
div>

Robot's Control System based on D-S Evidence Theory&BP Neural Network Algorithm

Time:[2015-09-01]

Robot's control system based on D-S evidence theory and BP neural network algorithm:The specifications of the automobile brake system are varied, the shape of the nut and the card is different, the machining accuracy is high, and the processing procedure is complicated. Development of quality monitoring system based on information fusion technology, design of D-S evidence theory and BP neural network algorithm is to improve the quality monitoring. Combined with sensor technology, automatic detection technology, communication technology, control theory and information theory, the development of distributed measurement and centralized diagnosis camera and pipe fitting quality monitoring system, the quality of pipe products are strictly controlled. IPC client can realize the quality monitoring and management subsystem. Through to the robot control system based on the combination of D-S evidence theory and BP neural network algorithm technology research, Zhejiang King-Mazon Machinery Co., Ltd. is developing "car brake system fittings special-purpose robot” capable of solving the set of logistics, processing, testing and other typical machinery parts manufacturing process requirements lays the foundation for future unmanned workshop.

Http://www.king-mazon.com/Product.aspx



Language: