会议专题

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

The 3rd Conference of Cross-Strait Engineering Education and Ceeusro & 1st International Conference on Engineering Technologies and Ceeusro(ICETC2009)(第三届工程技术与产学研研讨会暨第一届国际功能制造技术学术会议)

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)