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Título: | Real-time Reconfigurable Micro-system Based on FPGA and CPLD For Dual-mode PID Control Through Backpropagation Neural Network |
Autor: | Ruan, Zhuo Han, Yuzhang Han, Jianguo |
Palabras clave: | REDES NEURALES |
Fecha de publicación: | 9-mar-2007 |
Resumen: | In this paper, a practically usable dual-mode control micro-system based on CPLD and reconfigurable FPGA is described. FPGA can be dynamically reconfigured under the control of CPLD to implement two models, Backpropagation neural network model and its training model, both of which are respectively directed to two control modes for industrial produce. One mode is neural network performed automatic control, the other one as human-interfered traditional control. That is, only one single FPGA is reconfigured with multifunction. This technique can be widely applied into other control fields such as the adaptive control in different environments, space-ship control, measuring control in rough situation, and even production control. |
URI: | http://bibdigital.epn.edu.ec/handle/15000/9306 |
Tipo: | Article |
Aparece en las colecciones: | 2005 International Conference on Industrial Electronics and Control Applications (FIEE) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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P0110.pdf | 315,86 kB | Adobe PDF | Visualizar/Abrir |
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