Generation of new power processing structures exploiting genetic programming
Generation of new power processing structures exploiting genetic programming
This paper describes the use of genetic algorithms to generate power processing circuits. In order to speed up the algorithm, the fitness of the circuits is evaluated using an explicit integration method based on the 4th order Adams–Bashforth formula. Different combinations of genetic primitives for the crossover and mutation processes have been tested. The algorithm is demonstrated by generating new structures of voltage multipliers, which specifically focus on energy harvesting systems. These systems require low input voltages, usually under the diode threshold value. The Adams–Bashforth method allows to achieve a simulation time that is about five times faster than that of SPICE-based simulations.
Domenech Asensi, Gines
31bbc5b3-d1d7-4db8-ac37-28f64b8c6735
Kazmierski, Tomasz
a97d7958-40c3-413f-924d-84545216092a
8 August 2017
Domenech Asensi, Gines
31bbc5b3-d1d7-4db8-ac37-28f64b8c6735
Kazmierski, Tomasz
a97d7958-40c3-413f-924d-84545216092a
Domenech Asensi, Gines and Kazmierski, Tomasz
(2017)
Generation of new power processing structures exploiting genetic programming.
2017 IEEE 26th International Symposium on Industrial Electronics, , Edinburgh, United Kingdom.
19 - 21 Jun 2017.
4 pp
.
(doi:10.1109/ISIE.2017.8001336).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper describes the use of genetic algorithms to generate power processing circuits. In order to speed up the algorithm, the fitness of the circuits is evaluated using an explicit integration method based on the 4th order Adams–Bashforth formula. Different combinations of genetic primitives for the crossover and mutation processes have been tested. The algorithm is demonstrated by generating new structures of voltage multipliers, which specifically focus on energy harvesting systems. These systems require low input voltages, usually under the diode threshold value. The Adams–Bashforth method allows to achieve a simulation time that is about five times faster than that of SPICE-based simulations.
Text
005274_CheckedPDFExpress
- Accepted Manuscript
More information
Accepted/In Press date: 1 March 2017
e-pub ahead of print date: 8 August 2017
Published date: 8 August 2017
Venue - Dates:
2017 IEEE 26th International Symposium on Industrial Electronics, , Edinburgh, United Kingdom, 2017-06-19 - 2017-06-21
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 407783
URI: http://eprints.soton.ac.uk/id/eprint/407783
PURE UUID: 6f1ec384-24f2-4970-a65a-304b5535d7da
Catalogue record
Date deposited: 26 Apr 2017 01:06
Last modified: 16 Mar 2024 05:15
Export record
Altmetrics
Contributors
Author:
Gines Domenech Asensi
Author:
Tomasz Kazmierski
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics