High performance speed tracking of induction motor drives using an adaptive fuzzy-neural network control

2010 ◽  
Vol 2 (3) ◽  
pp. 231
Author(s):  
Mokhtar Zerikat ◽  
Soufyane Chekroun
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Fuzzy Neural Network ◽  
Motor Drives ◽  
Network Control ◽  
Neural Network Control ◽  
Induction Motor Drives ◽  
Adaptive Fuzzy Neural Network ◽  
Speed Tracking ◽  
Fuzzy Neural

Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process

2010 ◽  
Vol 426-427 ◽  
pp. 220-224
Author(s):  
X.M. Li ◽  
Ning Ding
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Network Control ◽  
Grinding Process ◽  
Neural Network Control ◽  
Network Control System ◽  
Cylindrical Grinding ◽  
Adaptive Fuzzy Neural Network ◽  
Fuzzy Neural

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.

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