Adaptive Filter for Inertial Systems

• Autorzy: Orzyłowski M.
• Języki publikacji: EN

Abstrakty

EN

The stochastic model of the disturbances handled by Kalman filters and the necessity of accurate identification of the dynamic model of the controlled system or process bring about a significant limitation of use of Kalman filters in practice. The paper presents filter designed for inertial systems whose models and control signals are not well known or are beyond description. The assumptions leading to a significant simplification of Kalman algorithm are described. On this basis, the algorithm with an experimentally matched parameter for the filter properties modification is introduced. An example of effective adaptive filtration is presented also.

Słowa kluczowe

EN

digotal signal processing; adaptive filtration; Kalman filter; inertial; systems; thermal systems

• Wydawca: Społeczna Akademia Nauk w Łodzi
• Czasopismo: Journal of Applied Computer Science Methods
• Rocznik: 2013
• Tom: Vol. 5 No. 1
• Strony: 5--15
• Opis fizyczny: Bibliogr. 3 poz., rys.

Twórcy

autor

Orzyłowski M.

• IT Institute, University of Social Sciences, 9 Sienkiewicza St., 90-113 Łódź, Poland

Bibliografia

• 1. Saeed V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, J. Wiley, 2009
• 2. Orzylowski M., Przetwarzanie sygnału pomiarowego w analizatorze zawartości siarki i węgla w popiołach, Elektronika, Sigma-NOT, Warszawa, No. 2013/4
• 3. Orzyłowski M., Process-oriented suboptimal controller for SiC bulk crystal growth system, Elektronika, SIGMA,-NOT, No. 8/2012, pp. 11-15