首页|Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process
Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process
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NETL
NSTL
Trans Tech Publications Ltd
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 systemfuzzy-neural networkexpert systemcylindrical grinding
X.M. Li、N. Ding
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College of Transportation, Zhejiang Normal University, Jinhua, 321004, China
College of Mechanical Engineering, Changchun University, Changchun 130022, China
NETL
NSTL
Trans Tech Publications Ltd
