A real-time identification method of a slow process parameters using adaptive IIR-OSLMS filters

  • Authors:

  • Caius Panoiu;Manuela Panoiu;Liviu Toma;Raluca Rob

  • Affiliations:

  • Politechnical University of Timisoara, Faculty of Engineering Hunedoara, Romania;Politechnical University of Timisoara, Faculty of Engineering Hunedoara, Romania;Politechnical University of Timisoara, Faculty of Electronics and Telecommunications Engineering, Timisoara, Romania;Politechnical University of Timisoara, Faculty of Electronics and Telecommunications Engineering, Timisoara, Romania

  • Venue:
  • WSEAS TRANSACTIONS on SYSTEMS
  • Year:
  • 2008

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Abstract

This paper present a real time identification of the parameters value of a slow process using adaptive IIR-OSLMS filters. This kind of process can be assimilating to a time constant and a delayed time. To ensure the convergence of the adaptive algorithm the initial values of the parameters can be compute using an on-line identification method. The measured temperature is affected by noise, so it was used a ALMS filter to reject the noise.