
	Information Technology Journal
	Year: 2014 \| Volume: 13 \| Issue: 4 \| Page No.: 789-794 DOI: 10.3923/itj.2014.789.794

An Approach of Input Power Control in ICPT System with Uncertainty Load

Zhijun Jian, Zhihui Wang, Ning Zhang, Siqing Fu, Bo Liu and Xin Hu

Abstract: In the voltage-fed Inductively Coupled Power Transfer (ICPT) system, input current increased when load become lighter especially no-load which led to system unstable. A method of frequency adjustment without adding additional links was presented which could realize the control of input power. The mathematical relationship between the input power and system operating frequency, load resistance, input voltage in the voltage-fed ICPT system was built based on mutual inductance theory. In order to improve the rapidity and accuracy of the control method, the neural network control strategy which included control network with three layers was added in the proposed method. Practical experiment illustrated that the method could make the system with good robustness when load changes in large scale. In instance, as the load resistance varied from 20-50 Ω, the input current returned to the reference value within a short time which verified that the proposed control approach was effective for ICPT system.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Controller Design for an Uncertain Contactless Power Transfer System

•	A Quasi Sliding Mode Output Control for Inductively Coupled Power Transfer System

•	Neural Network-based Constant Current Control of Dynamic Wireless Power Supply System for Electric Vehicles

•	An Efficiency Optimization Strategy with Segmented Optimal Frequency in the Common Inductive Power Transfer Platform

How to cite this article:

Zhijun Jian, Zhihui Wang, Ning Zhang, Siqing Fu, Bo Liu and Xin Hu, 2014. An Approach of Input Power Control in ICPT System with Uncertainty Load. Information Technology Journal, 13: 789-794.

DOI: 10.3923/itj.2014.789.794

URL: https://scialert.net/abstract/?doi=itj.2014.789.794

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Science Alert