Journal
IEEE ACCESS
Volume 6, Issue -, Pages 19295-19303Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2018.2795803
Keywords
Control center; dynamic state estimation; internet of things; magnetic coupling; wireless power transfer systems
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Funding
- MSIT, Korea, through the ICT Consilience Creative Program [IITP-2017-R0346-16-1007]
- NRF, Korea [NRF-2015R1C1A1A01053788]
- National Research Foundation of Korea [2015R1C1A1A01053788] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper derives a state-space model of wireless power transfer (WPT) systems to be used for the purpose of state estimation and controller design considering the internet of things (IoT) communication networks. After expressing the WPT systems into a state-space linear equation, the elements of IoT, such as sensors are deployed to obtain the state information. Then, an innovative IoT based communication infrastructure is proposed for sensing, actuating, and transmitting the information to the control center. In order to know the operating condition of the WPT systems, the Kalman filter based dynamic state estimation algorithm is proposed considering the IoT infrastructure. Afterwards, the optimal controller is designed to regulate the system states. Simulation results indicate that the proposed approaches can accurately estimate and stabilise the WPT states. Therefore, the developed frameworks are valuable in designing the IoT based smart control center for WPT systems.
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