Parameter design method for capacitive power and signal transfer system based on multi-objective optimisation algorithm

For most capacitive power transfer applications, a reliable signal transfer link between the primary side and the secondary side plays an essential role. The parameters design of the system has a key effect on the operating performance, however, the existing parameter design method can only get an a...

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Bibliographic Details
Published in:IET power electronics Vol. 12; no. 10; pp. 2650 - 2659
Main Authors: Su, Yu-Gang, Zhou, Wei, Wang, Zhi-Hui, Wu, Xue-Ying, Qing, Xiao-Dong
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 28.08.2019
Subjects:
bit rate 200 kbit/s
capacitive power transfer applications
constraint multiobjective algorithm
general parameter design method
genetic algorithms
global optimal parameter design method
global optimal parameters
globally optimal solution
inductive power transmission
mathematical models
multiobjective optimisation algorithm
multiobjective optimisation problem
nondominated sorting genetic algorithm II
objective functions
parameter values
Pareto optimisation
Pareto set
power 180.0 W
power noise
reliable signal transfer link
signal channels
signal transfer capability
signal transfer system
sorting
Special Issue: Advanced Technologies Utilised in Wireless Power Transfer Systems
Pareto optimisation
signal channels
multiobjective optimisation problem
nondominated sorting genetic algorithm II
bit rate 200 kbit/s
mathematical models
objective functions
global optimal parameters
genetic algorithms
parameter values
capacitive power transfer applications
signal transfer system
reliable signal transfer link
power noise
globally optimal solution
signal transfer capability
sorting
general parameter design method
multiobjective optimisation algorithm
Pareto set
power 180.0 W
inductive power transmission
global optimal parameter design method
constraint multiobjective algorithm
ISSN:1755-4535, 1755-4543
Online Access:Get full text
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Summary:For most capacitive power transfer applications, a reliable signal transfer link between the primary side and the secondary side plays an essential role. The parameters design of the system has a key effect on the operating performance, however, the existing parameter design method can only get an acceptable solution, instead of a globally optimal solution. This study has proposed a general and global optimal parameter design method based on the constraint multi-objective algorithm. The mathematical models of the power and signal channels as long as the power noise is established and all the objective functions are given according to the models. Besides, the constraints considering the reasonable region of the parameter values and the limitation of the voltage and current on the elements are given. Then the multi-objective optimisation problem with the objective functions and constraints are solved by the non-dominated sorting genetic algorithm II, and the proper global optimal parameters are selected from the Pareto set. Finally, a simulation model and an experimental setup with 180 W power and 200 kbps signal transfer capability are constructed, and the results verified the effectiveness and correctness of this method.
ISSN:1755-4535
1755-4543
DOI:10.1049/iet-pel.2018.5731