Title :
Application of fuzzy Kalman filter in adaptive control structure of two-mass system
Author :
Drozdz, Krzysztof ; Janiszewski, Dariusz ; Szabat, Krzysztof
Author_Institution :
Wroclaw Univ. of Technol., Wrocław, Poland
Abstract :
The the article the issues associated with the use of fuzzy logic in a non-linear Kalman filter working in adaptive control structure of the dual mass system are presented. In the introduction, a brief review of the literature is done. Then the mathematical model of the drive system is shown. Next, the control structure and the fuzzy extended Kalman filter is presented. The adaptation of the coefficients of the covariance matrix of the Kalman filter with the help of the fuzzy system is described. Estimator is tested in an open and closed control structure. Compared to the classic solutions, a significant improvement in the quality of the state variable estimation of the drive system is obtained.
Keywords :
Kalman filters; adaptive control; covariance matrices; drives; fuzzy control; nonlinear filters; state estimation; torsion; vibration control; adaptive control structure; closed control structure; covariance matrix coefficients; drive system; dual mass system; estimator; fuzzy extended Kalman filter; fuzzy logic; fuzzy system; mathematical model; nonlinear Kalman filter; open control structure; state variable estimation; torsional vibration; two-mass system; Adaptive control; Couplings; Estimation error; Fuzzy systems; Kalman filters; Torque; Transient analysis; Kalman filtering; fuzzy system; torsional vibation; two-mass system;
Conference_Titel :
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location :
Antalya
DOI :
10.1109/EPEPEMC.2014.6980556
