Title :
Application of the modified fuzzy Kalman filter to states estimation of the two-mass system
Author :
Drozdz, Krzysztof ; Orlowska-Kowalska, Teresa ; Szabat, Krzysztof
Author_Institution :
Fac. of Electr. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
In the paper issues related to the application of the modified fuzzy 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 modified fuzzy nonlinear Kalman filter are presented. The performance of the investigated method is tested under a variety of simulation tests. The experimental results are also included.
Keywords :
Kalman filters; fuzzy control; motor drives; nonlinear filters; parameter estimation; state estimation; vibrations; drive system; elastic joint; mathematical model; modified fuzzy nonlinear Kalman filter; parameter estimation; state estimation; two-mass system; Adaptive control; Estimation error; Fuzzy systems; Kalman filters; Mathematical model; Torque; Transient analysis; Kalman filter; fuzzy system; torsional vibration;
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
DOI :
10.1109/ICIT.2015.7125169
