DocumentCode
1644119
Title
Estimation of the mechanical state variables of two-mass system using adaptive Kalman filter
Author
Kaminski, Marcin ; Drozdz, Krzysztof ; Szabat, Krzysztof
Author_Institution
Fac. of Electr. Eng., Wroclaw Univ. of Technol., Wrocław, Poland
fYear
2015
Firstpage
1152
Lastpage
1155
Abstract
In the paper issues related to the application of the adaptive Kalman filter to estimation of the states and parameters of an drive system with an elastic joint are presented. After a short introduction the mathematical model of the drive and used control structure are described. Next the model of the classical and adaptive nonlinear Kalman filter are presented. The performance of the investigated method is tested under a variety of simulation and experimental tests.
Keywords
adaptive Kalman filters; driver circuits; nonlinear filters; parameter estimation; state estimation; adaptive nonlinear Kalman filter; drive system; elastic joint; mechanical state variable estimation; parameter estimation; two-mass system; Adaptive control; Covariance matrices; Kalman filters; Mathematical model; Torque; Vibrations; Kalman filter; adaptation; torsional vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Drive Systems (PEDS), 2015 IEEE 11th International Conference on
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/PEDS.2015.7203543
Filename
7203543
Link To Document