Genetic algorithm-assisted design of adaptive predictive filters for 50/60 Hz power systems instrumentation

Seppo J. Ovaska, Tamal Bose, Olli Vainio

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

We introduce a genetic algorithm-based method for structural optimization of multiplicative general parameter (MGP) finite impulse response (FIR) filters. These computationally efficient reduced-rank adaptive filters are robust, suitable for predictive configurations, and they have numerous applications in 50/60 Hz power systems instrumentation. The design process of such filters has three independent stages: Lagrange multipliers-based optimization of the sinusoid-predictive basis filter, genetic algorithm-based search of optimal FIR tap cross-connections and, finally, the online MGP-adaptation phase guided by variations in signal statistics. Thus, our multistage design procedure is a complementary fusion of hard computing (HC) and soft computing (SC) methodologies. Such advantageous fusion (or symbiosis) thinking is emerging among researchers and practicing engineers, and it can potentially lead to competitive combinations of individual HC and SC methods.

Original languageEnglish (US)
Pages (from-to)2041-2048
Number of pages8
JournalIEEE Transactions on Instrumentation and Measurement
Volume54
Issue number5
DOIs
StatePublished - Oct 2005
Externally publishedYes

Fingerprint

adaptive filters
Soft computing
genetic algorithms
Fusion reactions
fusion
Genetic algorithms
symbiosis
filters
FIR filters
Lagrange multipliers
optimization
Structural optimization
taps
sine waves
Adaptive filters
Impulse response
engineers
impulses
emerging
Statistics

Keywords

  • Adaptive filtering
  • Control instrumentation
  • Electric power systems
  • Genetic algorithms
  • Predictive filtering

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Genetic algorithm-assisted design of adaptive predictive filters for 50/60 Hz power systems instrumentation. / Ovaska, Seppo J.; Bose, Tamal; Vainio, Olli.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 5, 10.2005, p. 2041-2048.

Research output: Contribution to journalArticle

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