Enhancing working performance of active magnetic bearings using improved fuzzy control and Kalman-LMS filter

Author:

Yao Di1,Wang Jianwen1,Liu Yuan2

Affiliation:

1. School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China

2. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

1. Degrees of freedom control of a magnetically levitated rotor;Barthod;IEEE Transactions on Magnetics,1995

2. Decentralized PI/PD position control for active magnetic bearings;Polajzer;Electrical Engineering,2006

3. Study on active magnetic bearing based on Matlab;Su;Journal of Wuhan Institute of Chemical Technology,2003

4. Optimal fuzzy PID controller design of an active magnetic bearing system based on adaptive genetic algorithms;Chen;Proceedings of the Seventh International Conference on Machine Learning and Cybernetics,2008

5. Robust nonsingular terminal sliding-mode control for nonlinear magnetic bearing system;Chen;IEEE Transactions on Control Systems Technology,2011

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3. A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment;Chinese Journal of Mechanical Engineering;2020-11-30

4. Research on switch compensation control for maglev flywheel battery;IEEJ Transactions on Electrical and Electronic Engineering;2018-05-25

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