TY - GEN
T1 - Fuzzy-based actuators controlling for minimizing power consumption in cyber-physical system
AU - Cheng, Sheng Tzong
AU - Chou, Ju Hsien
PY - 2012/5/14
Y1 - 2012/5/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84860720386&partnerID=8YFLogxK
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U2 - 10.1109/AINA.2012.109
DO - 10.1109/AINA.2012.109
M3 - Conference contribution
AN - SCOPUS:84860720386
SN - 9780769546513
T3 - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
SP - 160
EP - 166
BT - Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
T2 - 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
Y2 - 26 March 2012 through 29 March 2012
ER -