Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process
An adaptive fuzzy neural network control system in cylindrical grinding process was proposed. In this system, the initial cylindrical grinding parameters were decided by the expert system based on fuzzy neural network. Multi-feed and setting overshoot optimization methods were also adopted during the grinding process, and a human machine cooperation system (composed of human and two fuzzy-neural networks) could revise the process parameters in real-time. The experiment of the cylindrical grinding was implemented. The results showed that this control system was valid, and could greatly improve the cylindrical grinding quality and machining efficiency.
adaptive control system fuzzy-neural network expert system cylindrical grinding
X.M.Li N.Ding
College of Transportation,Zhejiang Normal University,Jinhua,321004,China College of Mechanical Engineering,Changchun University,Changchun 130022,China
国际会议
常州
英文
220-224
2009-11-19(万方平台首次上网日期,不代表论文的发表时间)