A cyber physical system model using genetic algorithm for actuators control

Sheng Tzong Cheng, Tun Yu Chang

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

In recent years, cyber physical systems play important roles in many diverse areas. Many contributing works of mathematicians and scientists have developed the concept of control theory. However, the power-consumption capacity of cyber physical systems has been growing, as has been their scale. Energy-supply issues rightly constitute one of the most important issues. In this paper, we propose a cyber physical system model that could be scheduled and controlled to achieve the desired reference values and minimizing the power consumption of the given system. In the model, the central control module copes with all variables, including the current output of the process and the predicted temperature variation in the next epoch. The binary-coded genetic algorithm is the scheduler and used to control the actuators by the actuator controller. The operation of the system, as based on the schedulers' schedule results, helps minimize the power consumption of the whole system while permitting the realization of the desired reference sensor value. The simulation results show that the application of our proposed cyber physical system model can minimize its power consumption while accomplishing the desired set point.

原文English
主出版物標題2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings
頁面2269-2272
頁數4
DOIs
出版狀態Published - 2012 六月 11
事件2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Three Gorges, China
持續時間: 2012 四月 212012 四月 23

出版系列

名字2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings

Other

Other2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012
國家China
城市Three Gorges
期間12-04-2112-04-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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