Genetic algorithm-aided design of predictive filters for electric power applications

Seppo J. Ovaska, Tamal Bose, Olli Vainio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We introduce a genetic algorithm (GA) -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)
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Pages1463-1468
Number of pages6
Volume2
StatePublished - 2003
Externally publishedYes
EventSystem Security and Assurance - Washington, DC, United States
Duration: Oct 5 2003Oct 8 2003

Other

OtherSystem Security and Assurance
CountryUnited States
CityWashington, DC
Period10/5/0310/8/03

Fingerprint

Soft computing
Fusion reactions
Genetic algorithms
Structural optimization
Lagrange multipliers
FIR filters
Adaptive filters
Impulse response
Statistics
Engineers

Keywords

  • Adaptive signal processing
  • Fusion of soft computing and hard computing
  • Genetic algorithms
  • Power systems
  • Prediction methods

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Ovaska, S. J., Bose, T., & Vainio, O. (2003). Genetic algorithm-aided design of predictive filters for electric power applications. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 2, pp. 1463-1468)

Genetic algorithm-aided design of predictive filters for electric power applications. / Ovaska, Seppo J.; Bose, Tamal; Vainio, Olli.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 2 2003. p. 1463-1468.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ovaska, SJ, Bose, T & Vainio, O 2003, Genetic algorithm-aided design of predictive filters for electric power applications. in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. vol. 2, pp. 1463-1468, System Security and Assurance, Washington, DC, United States, 10/5/03.
Ovaska SJ, Bose T, Vainio O. Genetic algorithm-aided design of predictive filters for electric power applications. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 2. 2003. p. 1463-1468
Ovaska, Seppo J. ; Bose, Tamal ; Vainio, Olli. / Genetic algorithm-aided design of predictive filters for electric power applications. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 2 2003. pp. 1463-1468
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