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

fYear

2014

fDate

21-24 Sept. 2014

Firstpage

575

Lastpage

578

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International

Conference_Location

Antalya

Type

conf

DOI

10.1109/EPEPEMC.2014.6980556

Filename

6980556