Title :
Neural network design of a dishwasher control board
Author :
Morris, Milton ; Hobson, Rosalyn S.
Author_Institution :
Sch. of Eng., Virginia Commonwealth Univ., Richmond, VA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper, a novel approach to designing an advanced control board for use in appliance control, specifically dishwasher control. A software model of the control board is constructed in order to understand the control path to be designed, and this is used as a benchmark for an innovative controller. Hardware control of the dishwasher is realized by use of an Invensys control systems tool, the Control Works and Interface Box, designed for hardware controller design. The ´brain´ of the dishwasher is a neural network using the Widrow/Hoff learning method. Smart control is achieved using sensors, timing mechanisms and the Widrow/Hoff neural network
Keywords :
control system analysis computing; control system synthesis; domestic appliances; intelligent control; learning (artificial intelligence); neurocontrollers; sensors; timing; Control Works and Interface Box; Invensys control systems tool; Widrow/Hoff learning method; appliance control; control path; dishwasher control board design; hardware controller design; neural network design; sensors; smart control; software model; timing mechanisms; Automatic control; Backpropagation algorithms; Control systems; Costs; DC motors; Energy efficiency; Hardware; Home appliances; Mathematical model; Neural networks;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007534
