Internet of Things Infrastructure for Wireless Power Transfer Systems

• Main Authors: Md M. Rana, Wei Xiang, Eric Wang, Xuehua Li, Bong Jun Choi
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Control center; dynamic state estimation; internet of things; magnetic coupling; wireless power transfer systems
• Online Access: https://ieeexplore.ieee.org/document/8268084/

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.