Title :
An adaptive control method to suppress the maglev track-induced self-excited vibration
Author :
Zhou, Danfeng ; Li, Jie ; Zhang, Kun
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Track induced self-excited vibration is a special problem in the EMS (electromagnetic suspension) maglev systems. In this paper, a coupled model of the steel track and the magnetic levitation system is developed, and the principle underlying the self-excited vibration is explored using the Nyquist stability criterion. To eliminate the self-excited vibration, an improved LMS cancellation algorithm with phase compensation (C-LMS algorithm) is presented. To achieve adaptive cancellation, a frequency estimator is employed to estimate the frequency of the vibration and to provide the C-LMS algorithm with a reference signal. Theoretical analysis and numerical simulation show that the proposed adaptive LMS algorithm can effectively eliminate the self-excited vibration.
Keywords :
Nyquist stability; adaptive control; frequency estimation; magnetic levitation; vibration control; C-LMS cancellation algorithm; EMS maglev system; Nyquist stability; adaptive LMS algorithm; adaptive cancellation; adaptive control method; electromagnetic suspension; frequency estimation; frequency estimator; maglev track-induced self excited vibration suppression; magnetic levitation system; numerical simulation; phase compensation; steel track; Electromagnets; Equations; Frequency control; Frequency estimation; Least squares approximation; Medical services; Vibrations; LMS; adaptive; maglev; self-excited; vibration;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768485