scholarly journals Multi-objective topology optimization of magnetic couplers for wireless power transfer

2020 ◽  
Vol 64 (1-4) ◽  
pp. 325-333
Author(s):  
Yunyi Gong ◽  
Yoshitsugu Otomo ◽  
Hajime Igarashi
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Good Balance ◽  
Multi Objective ◽  
Gaussian Network

In this paper, the multi-objective topology optimizations of wireless power transfer (WPT) devices with two different coil geometries are proposed for obtaining the designs with good balance between transfer efficiency and safety. For this purpose, the proposed method adopts the normalized Gaussian network (NGnet) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition, the optimization under the different constraint on ferrite volume is carried out to verify its influence on optimization results. It has been shown that the proposed method successfully provides the Pareto solution to the design problem of the WPT device.

scholarly journals Dual-Frequency Output of Wireless Power Transfer System with Single Inverter Using Improved Differential Evolution Algorithm

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2209 ◽  
Author(s):  
Jie Wu ◽  
Lizhong Bie ◽  
Nan Jin ◽  
Leilei Guo ◽  
Jitao Zhang ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Wireless Power Transfer ◽  
Wireless Charging ◽  
Power Transfer ◽  
Dual Frequency ◽  
Wireless Power ◽  
Nsga Ii ◽  
Multi Objective ◽  
Improved Differential Evolution Algorithm

In wireless charging devices, a transmitter that applies a single inverter to output dual-frequency can effectively solve the charging incompatibility problem caused by different wireless charging standards and reduce the equipment volume. However, it is very difficult to solve the switching angle of the modulated dual-frequency waveform, which involves non-linear high-dimensional multi-objective optimization with multiple constraints. In this paper, an improved differential evolution (DE) algorithm is proposed to solve the transcendental equations of switching angle trains of dual-frequency programmed harmonic modulation (PHM) waveform. The proposed algorithm maintains diversity while preserving the elites and improves the convergence speed of the solution. The advantage of the proposed algorithm was verified by comparing with non-dominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The simulation and experimental results validate that the proposed method can output dual-frequency with a single inverter for wireless power transfer (WPT).

scholarly journals MULTI-OBJECTIVE OPTIMIZATION OF WIRELESS POWER TRANSFER SYSTEMS WITH MAGNETICALLY COUPLED RESONATORS AND NONLINEAR LOADS

2019 ◽  
Vol 83 ◽  
pp. 25-42 ◽  
Author(s):  
Johan Winges ◽  
Thomas Rylander ◽  
Carl Petersson ◽  
Christian Ekman ◽  
Lars-Ake Johansson ◽  
...  
Keyword(s):  
Wireless Power Transfer ◽  
Power Transfer ◽  
Multi Objective Optimization ◽  
Wireless Power ◽  
Coupled Resonators ◽  
Nonlinear Loads ◽  
Multi Objective

Study of the Non-Dominated Sorting Genetic Algorithm for the Optimal Structural Parameter of the Tooth-Arrangement Multi-Fingered Dextrous Hand

2013 ◽  
Vol 756-759 ◽  
pp. 4082-4089
Author(s):  
Zhan Li Li ◽  
Xiang Ting He
Keyword(s):  
Genetic Algorithm ◽  
Parameter Optimization ◽  
Experimental Results ◽  
Structural Parameter ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Multi Objective ◽  
Dextrous Hand

Firstly, the structural parameter optimization of the tooth-arrangement multi-fingered dextrous hand is studied. Secondly, as to the shortcomings that the Pareto solution of multi-objective optimization was distributed unevenly in NSGA-II, a non-dominated sorting genetic algorithm based on immune principle is proposed. Lastly, the structural parameter of the medical tooth-arrangement multi-fingered dextrous hand is optimized using the proposed algorithm. The experimental results show that this algorithm can optimize structural parameter of tooth-arrangement multi-fingered dextrous hand very well.

Applications of Multi-Objective Genetic Algorithm in Optimizing Steering Performances for Submersible

2013 ◽  
Vol 756-759 ◽  
pp. 3136-3140
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Shao Lian Ma
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Approximation Model ◽  
Horizontal Movement ◽  
Nsga Ii ◽  
Hydrodynamic Coefficient ◽  
Pareto Solution ◽  
Multi Objective ◽  
Minimum Drag ◽  
Multi Objective Genetic Algorithm

Multi-objective arithmetic NSGA-II based on Pareto solution is investigated to deal with integrated optimal design of speedability and manoeuvre performances for submersible. Approximation model of resistance for serial revolving shape is constructed by hydrodynamic numerical calculations. The appraisement criterions of stability and mobility are calculated from linear equation of horizontal movement by estimating hydrodynamic coefficient of submersible. After optimization, the scattered Pareto solution of drag and turning diameter are gained, and from the solutions designer can select the reasonable one based on the actual requirement. The Pareto solution can ensure the minimum drag in this manoeuvre performance or the best manoeuvre performance in this drag value.

scholarly journals Automatic Optimization of the Compensation Networks of a Wireless Power Transfer System

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5298
Author(s):  
Manuele Bertoluzzo ◽  
Stefano Giacomuzzi ◽  
Elisabetta Sieni
Keyword(s):  
Genetic Algorithm ◽  
Wireless Power Transfer ◽  
System Optimization ◽  
Experimental Results ◽  
Transfer System ◽  
Power Transfer ◽  
Wireless Power ◽  
Power Transfer Efficiency ◽  
Wireless Power Transfer System ◽  
The Difference

This paper addresses the optimization of the compensation networks of a wireless power transfer system. Optimization is performed by means of a genetic algorithm that looks for the reactances of the elements of the compensation networks that maximize the power transfer efficiency and the power transferred to the load. In addition, the algorithm selects the solutions that are less sensitive to the difference between the theoretical and actual reactances. The last part of the paper describes the prototypal setup used for the tests and supports the theoretical findings by reporting experimental results.

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