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

Volume

3

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

2493

Lastpage

2497

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007534

Filename

1007534