Cover Image

A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization

Optimization of electrostatic sensor electrodes plays a significant role to achieve more homogenous spatial sensitivity. Particle swarm optimization (PSO) is a simple method that has attracted many attentions in recent years. In this paper, the physical sizes of several electrodes for electrostatic...

Full description

Saved in:
Bibliographic Details
Main Authors: Heydarianasl, M., Rahmat, M. F.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/71174/1/MozhdeHeydarianasl2016_ANewMethodtoOptimizeGeometricDesign.pdf
http://eprints.utm.my/id/eprint/71174/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979688309&doi=10.11113%2fjt.v78.9423&partnerID=40&md5=c5aa8ec142f665705a6fa8b86aaf1182
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.71174
record_format eprints
spelling my.utm.711742017-11-15T01:41:16Z http://eprints.utm.my/id/eprint/71174/ A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization Heydarianasl, M. Rahmat, M. F. TK Electrical engineering. Electronics Nuclear engineering Optimization of electrostatic sensor electrodes plays a significant role to achieve more homogenous spatial sensitivity. Particle swarm optimization (PSO) is a simple method that has attracted many attentions in recent years. In this paper, the physical sizes of several electrodes for electrostatic sensors are optimized using the PSO technique. Spatial sensitivity of electrode is considered as objective function in this method. Additionally, the thickness and length of electrode are described as physical characteristics of electrode, which need to be optimized. In order to verify this optimization method, different electrodes are applied in laboratory. The optimal value of thickness and length of electrode according to the optimization and experimentation are 5mm and 6mm, respectively. As a result, there is a great agreement between the optimization and experimental results. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/71174/1/MozhdeHeydarianasl2016_ANewMethodtoOptimizeGeometricDesign.pdf Heydarianasl, M. and Rahmat, M. F. (2016) A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization. Jurnal Teknologi, 78 (7-4). pp. 75-83. ISSN 0127-9696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979688309&doi=10.11113%2fjt.v78.9423&partnerID=40&md5=c5aa8ec142f665705a6fa8b86aaf1182
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Heydarianasl, M.
Rahmat, M. F.
A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
description Optimization of electrostatic sensor electrodes plays a significant role to achieve more homogenous spatial sensitivity. Particle swarm optimization (PSO) is a simple method that has attracted many attentions in recent years. In this paper, the physical sizes of several electrodes for electrostatic sensors are optimized using the PSO technique. Spatial sensitivity of electrode is considered as objective function in this method. Additionally, the thickness and length of electrode are described as physical characteristics of electrode, which need to be optimized. In order to verify this optimization method, different electrodes are applied in laboratory. The optimal value of thickness and length of electrode according to the optimization and experimentation are 5mm and 6mm, respectively. As a result, there is a great agreement between the optimization and experimental results.
format Article
author Heydarianasl, M.
Rahmat, M. F.
author_facet Heydarianasl, M.
Rahmat, M. F.
author_sort Heydarianasl, M.
title A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
title_short A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
title_full A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
title_fullStr A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
title_full_unstemmed A new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
title_sort new method to optimize geometric design of electrostatic sensor electrodes using particle swarm optimization
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/71174/1/MozhdeHeydarianasl2016_ANewMethodtoOptimizeGeometricDesign.pdf
http://eprints.utm.my/id/eprint/71174/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979688309&doi=10.11113%2fjt.v78.9423&partnerID=40&md5=c5aa8ec142f665705a6fa8b86aaf1182
_version_ 1643656125674946560
score 13.211869

Similar Items