GA-based actuator control method for minimizing power consumption in cyber physical systems

Sheng-Tzong Cheng, Jia Shing Shih, Tun Yu Chang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In recent years, the public has been paying ever greater attention to problems associated with energy production and consumption. Energy-supply issues rightly constitute one of the most important issues that we face. In the absence of any viable alternative energy supply, a strategy that would result in energy savings is a legitimate goal. In this paper, we propose a genetic algorithm-based method by which electrical operators in a cyber physical system could be scheduled and controlled. Our method accounts for not only process output but also environmental variation. We propose that the electrical operators be of the same function but with different capabilities. One set of sensors would be placed dispersedly around the to-be-affected area for measuring the output of the processes. Another set of sensors would collect the environmental variation value for prediction purposes. The simulation results show that the application of our proposed GA-based Actuator Control (GAAC) method to the aforementioned cyber physical system can minimize its power consumption while accomplishing the desired set point.

Original languageEnglish
Pages (from-to)78-87
Number of pages10
JournalApplied Intelligence
Volume38
Issue number1
DOIs
Publication statusPublished - 2013 Jan 1

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Mathematical operators
Electric power utilization
Actuators
Sensors
Energy conservation
Genetic algorithms
Cyber Physical System

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

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GA-based actuator control method for minimizing power consumption in cyber physical systems. / Cheng, Sheng-Tzong; Shih, Jia Shing; Chang, Tun Yu.

In: Applied Intelligence, Vol. 38, No. 1, 01.01.2013, p. 78-87.

Research output: Contribution to journalArticle

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