Vibration switch compensation for maglev flywheel battery of EV based on standard LMS algorithm

Joint Authors

Meng, Xianhai
Gao, Hui

Source

Journal of Engineering Research

Issue

Vol. 8, Issue 1 (31 Mar. 2020), pp.189-210, 22 p.

Publisher

Kuwait University Academic Publication Council

Publication Date

2020-03-31

Country of Publication

Kuwait

No. of Pages

22

Main Subjects

Electronic engineering

Abstract EN

In maglev flywheel system, unbalance interference signals synchronous with the flywheel frequency would be produced because the flywheel rotor quality is uneven.

The signal can reduce system control precision and stability, and make the system produce unbalance vibration, so the signal should be filtered to reduce the effects to the control system.

A kind of vibration switching compensation control strategy is proposed based on the standard LMS algorithm and one PID controller.

The flywheel real-time rotation frequency is looked as the switching reference, different LMS algorithm step size and different PID controller parameters are adopted in different rotational frequency.

Simulation and experiment results verify the feasibility and effectiveness of the switch compensation strategy, can reduce the control current amplitude, and make the flywheel rotate around the inertial principal axis as much as possible.

American Psychological Association (APA)

Gao, Hui& Meng, Xianhai. 2020. Vibration switch compensation for maglev flywheel battery of EV based on standard LMS algorithm. Journal of Engineering Research،Vol. 8, no. 1, pp.189-210.
https://search.emarefa.net/detail/BIM-1494861

Modern Language Association (MLA)

Gao, Hui& Meng, Xianhai. Vibration switch compensation for maglev flywheel battery of EV based on standard LMS algorithm. Journal of Engineering Research Vol. 8, no. 1 (Mar. 2020), pp.189-210.
https://search.emarefa.net/detail/BIM-1494861

American Medical Association (AMA)

Gao, Hui& Meng, Xianhai. Vibration switch compensation for maglev flywheel battery of EV based on standard LMS algorithm. Journal of Engineering Research. 2020. Vol. 8, no. 1, pp.189-210.
https://search.emarefa.net/detail/BIM-1494861

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 208-209

Record ID

BIM-1494861