Self-organizing sensing and actuation for automatic control
Abstract
A Self-Organizing Process Control Architecture is introduced with a Sensing Layer, Control Layer, Actuation Layer, Process Layer, as well as Self-Organizing Sensors (SOS) and Self-Organizing Actuators (SOA). A Self-Organizing Sensor for a process variable with one or multiple input variables is disclosed. An artificial neural network (ANN) based dynamic modeling mechanism as part of the Self-Organizing Sensor is described. As a case example, a Self-Organizing Soft-Sensor for CFB Boiler Bed Height is presented. Also provided is a method to develop a Self-Organizing Sensor.
- Inventors:
- Issue Date:
- Research Org.:
- CYBOMEDICAL, INC. Rancho Cordova, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1368192
- Patent Number(s):
- 9696699
- Application Number:
- 14/082,059
- Assignee:
- CYBOMEDICAL, INC.
- Patent Classifications (CPCs):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
- DOE Contract Number:
- SC0008235
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 Nov 15
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Cheng, George Shu-Xing. Self-organizing sensing and actuation for automatic control. United States: N. p., 2017.
Web.
Cheng, George Shu-Xing. Self-organizing sensing and actuation for automatic control. United States.
Cheng, George Shu-Xing. Tue .
"Self-organizing sensing and actuation for automatic control". United States. https://www.osti.gov/servlets/purl/1368192.
@article{osti_1368192,
title = {Self-organizing sensing and actuation for automatic control},
author = {Cheng, George Shu-Xing},
abstractNote = {A Self-Organizing Process Control Architecture is introduced with a Sensing Layer, Control Layer, Actuation Layer, Process Layer, as well as Self-Organizing Sensors (SOS) and Self-Organizing Actuators (SOA). A Self-Organizing Sensor for a process variable with one or multiple input variables is disclosed. An artificial neural network (ANN) based dynamic modeling mechanism as part of the Self-Organizing Sensor is described. As a case example, a Self-Organizing Soft-Sensor for CFB Boiler Bed Height is presented. Also provided is a method to develop a Self-Organizing Sensor.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 04 00:00:00 EDT 2017},
month = {Tue Jul 04 00:00:00 EDT 2017}
}
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