ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL | An enhanced FCI based parametric adaptive filter and intelligent neural network based non-parametric adaptive filters

Hsiung Lin

ISBN 10: 3843363358 / ISBN 13: 9783843363358

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL | An enhanced FCI based parametric adaptive filter and intelligent neural network based non-parametric adaptive filters | Hsiung Lin | Taschenbuch | 172 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843363358 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL | An enhanced FCI based parametric adaptive filter and intelligent neural network based non-parametric adaptive filters
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843363358
• ISBN 13: 9783843363358
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 274 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive.

About the Author

Hsiung-Cheng Lin graduated from National Taiwan Normal University for his bachelor degree in 1986, Taiwan. He received Master and PhD degree from Swinburne University of Technology, Australia in 1995 and 2002, respectively. He is currently a professor in the Department of Electronic Engineering at National Chin-Yi Uni. of Tech., Taiwan.