Title :
Application of nonlinear Kalman filter theory to nonstationary impedance identification problem
Author_Institution :
Dept. of Instrum. & Meas., Univ. of Min. & Metall., Cracow, Poland
Abstract :
The paper deals with the estimation of the parameters of aluminium electrolyser impedance. The technological process causes its nonstationarity. The estimator was constructed on the basis of nonlinear Kalman filter theory. The results of the simulation tests of proposed estimator are presented
Keywords :
Kalman filters; aluminium; digital simulation; electric impedance; electrolysis; filtering theory; nonlinear network analysis; parameter estimation; random noise; simulation; Al; Al electrolyser impedance; estimation; nonlinear Kalman filter theory; nonstationary impedance identification; parameters; random disturbances; resistance estimation; simulation tests; Aluminum; Electric variables measurement; Electrodes; Energy measurement; Frequency; Impedance; Metals industry; Signal processing; Testing; Time measurement;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507423
