Construction of Rotor/AMB dynamic model applied for TMP using self-tuning Kalman Filter-Reference-Cited by-同舟云学术

Construction of Rotor/AMB dynamic model applied for TMP using self-tuning Kalman Filter

Published:2014-03 Issue:2 Volume:24 Page:158-167
ISSN:0957-4158
Container-title:Mechatronics
language:en
Short-container-title:Mechatronics

Author:

Liu Yu-Hsun,Tsai Nan-Chyuan,Chiu Hsin-Lin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference16 articles.

1. Mohd-Mokhtar R, Wang L, Qin L, Barry T. Continuous time system identification of magnetic bearing systems using frequency response data. In: Proceedings of the 5th Asian control conference, vol. 3; 2004. p. 2066–2072.

2. Nonlinear parametric identification of magnetic bearings;Alasty;Mechatronics,2006

3. Modeling of a high speed rotor test rig with Active Magnetic Bearings;Li;J Vib Acoust,2006

4. Model analysis of a turbo-pump shaft: an innovative suspending method to improve the results;Sadeghi;IUST Int J Eng Sci,2008

5. Nonlinear model identification of wind turbine with a neural network;Kélouwani;IEEE Trans Energy Convers,2004

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive fuzzy hybrid unscented/H-infinity filter for state estimation of nonlinear dynamics problems;Transactions of the Institute of Measurement and Control;2018-08-08

2. Identification of a solid-core active magnetic bearing in current and voltage drive modes;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2015-12-02