<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In order to design an efficient resonant power supply for ozone gas generator, it is necessary to accurately determine the parameters of the ozone chamber. In the conventional method, the information from Lissajous plot is used to estimate the values of these parameters. However, the experimental setup for this purpose can only predict the parameters at one operating frequency and there is no guarantee that it results in the highest ozone gas yield. This paper proposes a new approach to determine the parameters using a search and optimization technique known as Differential Evolution (DE). The desired objective function of DE is set at the resonance condition and the chamber parameter values can be searched regardless of experimental constraints. The chamber parameters obtained from the DE technique are validated by experiment.</p></abstract>

In order to design an efficient resonant power supply for ozone gas generator, it is necessary to accurately determine the parameters of the ozone chamber. In the conventional method, the information from Lissajous plot is used to estimate the values of these parameters. However, the experimental setup for this purpose can only predict the parameters at one operating frequency and there is no guarantee that it results in the highest ozone gas yield. This paper proposes a new approach to determine the parameters using a search and optimization technique known as Differential Evolution (DE). The desired objective function of DE is set at the resonance condition and the chamber parameter values can be searched regardless of experimental constraints. The chamber parameters obtained from the DE technique are validated by experiment.

A Model Parameter Extraction Method for Dielectric Barrier Discharge Ozone Chamber using Differential Evolution

Center of Electrical Energy Systems, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia, University College of Engineering and Technology, The Islamia University of Bahawalpur, 63100, Punjab, Pakistan.

Center of Electrical Energy Systems, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

Measurement Science Review

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

In order to design an efficient resonant power supply for ozone gas generator, it is necessary to accurately determine the parameters of the ozone chamber. In...

A Model Parameter Extraction Method for Dielectric Barrier Discharge Ozone Chamber using Differential Evolution

Online veröffentlicht: 08. Mai 2014

Seitenbereich: 78 - 86

Eingereicht: 12. Juli 2013

Akzeptiert: 10. Apr. 2014

DOI: https://doi.org/10.2478/msr-2014-0011

Schlüsselwörter
Dielectric barrier discharge, differential evolution, Lissajous figure, ozone chamber, parameter estimation

© by M. Amjad

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

A Model Parameter Extraction Method for Dielectric Barrier Discharge Ozone Chamber using Differential Evolution

Online veröffentlicht: 08. Mai 2014

Seitenbereich: 78 - 86

Eingereicht: 12. Juli 2013

Akzeptiert: 10. Apr. 2014

DOI: https://doi.org/10.2478/msr-2014-0011

SchlüsselwörterDielectric barrier discharge, differential evolution, Lissajous figure, ozone chamber, parameter estimation

© by M. Amjad

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Schlüsselwörter
Dielectric barrier discharge, differential evolution, Lissajous figure, ozone chamber, parameter estimation