Paper Info
Title
Fuzzy-Based Actuators Controlling for Minimizing Power Consumption in Cyber-physical System
Abstract
In recent years, the public has been paying ever greater attention to problems associated with energy production and consumption. Major news publications print headlines such as "Crude-oil Production Is Winding Down" and "Natural Gas Is in Scarce Supply." Nuclear crises seem more likely than ever, whether caused by human actions or natural disasters. Energy-supply issues rightly constitute one of the most important issues that we face. Before a viable alternative energy source of supply is discovered and implemented, energy saving is essential. This work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. Not only output of process but also environmental variations are considered. The electrical operators are assumed to be of a single type but with various capabilities. One set of sensors is placed dispersedly around the to-be-affected area for measuring the output of processes. Another set of sensors would collect the data on environmental-variations to predict purposes. The results of a simulation reveal that fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.
Year
DOI
Venue
2012
10.1109/AINA.2012.109
AINA
Keywords
Field
DocType
fuzzy logic,fuzzy control method,viable alternative energy source,electrical operator,energy saving,minimizing power consumption,energy-supply issue,cyber-physical system,crude-oil production,energy production,power consumption,fuzzy-based actuators,natural disasters,disasters,heating,natural gas,sensors,scheduling,natural disaster,alternative energy,renewable energy sources,cyber physical systems,actuators,fuzzy control,cyber physical system
Renewable energy,Industrial engineering,Computer science,Scheduling (computing),Computer security,Fuzzy logic,Cyber-physical system,Operator (computer programming),Alternative energy,Fuzzy control system,Distributed computing,Actuator
Conference
ISSN
Citations 
PageRank 
1550-445X
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Sheng-Tzong Cheng129344.23
Ju-Hsien Chou211.41