Waveform Design for Optimal Wireless Power Transfer Using Evolutionary Algorithms
| Autor: | Julien Huillery, Yvan Duroc, Arnaud Breard, Sotirios K. Goudos, Pavlos Doanis, Achilles D. Boursianis |
|---|---|
| Přispěvatelé: | Aristotle University of Thessaloniki, Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ampère, Département Energie Electrique (EE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Computer science Evolutionary algorithm 020206 networking & telecommunications 02 engineering and technology Rectenna [SPI]Engineering Sciences [physics] Channel state information 0202 electrical engineering electronic engineering information engineering Electronic engineering Maximum power transfer theorem Waveform 020201 artificial intelligence & image processing Wireless power transfer MATLAB computer ComputingMilieux_MISCELLANEOUS computer.programming_language |
| Zdroj: | International Conference on Modern Circuits and Systems Technologies (MOCAST 2020) International Conference on Modern Circuits and Systems Technologies (MOCAST 2020), Sep 2020, Bremen, Germany MOCAST |
| Popis: | One of the possible ways to increase the end-to-end power transfer efficiency in a radiative Wireless Power Transfer (WPT) system is by transmitting multi-tone signals optimized according to the receiver rectenna's nonlinear behavior and the Channel State Information (CSI). This optimization problem is a non-convex problem that has been tackled in the past with Sequential Convex Programming (SCP) algorithms. Since SCP algorithms do not guarantee to track the globally optimal solutions, there is interest in applying some other optimization methods to this problem. Here we apply various Evolutionary Algorithms (EAs) with different characteristics. The performance of the designed waveforms is evaluated in Matlab, using a simplified Single Input Single Output (SISO) system model. EAs are successfully applied to waveform design for WPT and seem to track the optimal solutions in the tested cases. Moreover, the effectiveness of the SCP-QCLP method is verified. |
| Databáze: | OpenAIRE |
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