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Magnetic suspension rotor harmonic vibration suppression method based on frequency-domain self-adaption LMS (least mean square) algorithm

A technology of magnetic levitation rotor and LMS algorithm, applied in the direction of rotating gyroscope, etc., can solve the problems of real-time limitation and large amount of calculation.

Active Publication Date: 2016-07-20
BEIHANG UNIV
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Problems solved by technology

The existing technology has the following problems: (1) The current harmonic vibration suppression algorithm has a large amount of calculation, and the real-time performance is limited

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  • Magnetic suspension rotor harmonic vibration suppression method based on frequency-domain self-adaption LMS (least mean square) algorithm
  • Magnetic suspension rotor harmonic vibration suppression method based on frequency-domain self-adaption LMS (least mean square) algorithm
  • Magnetic suspension rotor harmonic vibration suppression method based on frequency-domain self-adaption LMS (least mean square) algorithm

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0058] Such as figure 1 As shown, the implementation process of a magnetic levitation rotor harmonic vibration suppression method based on the frequency domain adaptive LMS algorithm is as follows: firstly, the main harmonic components of the magnetic levitation rotor are analyzed, and the dynamic force of the magnetic levitation rotor including mass unbalance and sensor harmonics is established. Then, a frequency-domain adaptive filtering method is used to suppress harmonic vibration. figure 2 For the magnetic levitation rotor system A adopted in the present invention x Schematic diagram of channel harmonic vibration suppression method. image 3 For the magnetic levitation rotor system A adopted in the present invention y Schematic diagram of channel harmonic vibration suppression method. Figure 4 For the magnetic levitation rotor system...

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Abstract

The invention discloses a magnetic suspension rotor harmonic vibration suppression method based on a frequency-domain self-adaption LMS (least mean square) algorithm. Aiming at a four-freedom-degree active-passive magnetic suspension control moment top, dynamics modeling of a magnetic suspension rotor is performed on the condition of considering rotor mass unbalance and sensor harmonic waves, the harmonic vibration suppression method based on the frequency-domain self-adaption LMS algorithm is designed to suppress frequency doubling vibration of a rotor system, and a wave trap is used for suppressing synchronous vibration. The magnetic suspension rotor harmonic vibration suppression method has the advantages that the method can suppress harmonic components in magnetic bearing coil currents to further suppress harmonic components in rotor displacement and is applicable to active control of magnetic suspension rotor system harmonic vibration with the mass unbalance and the sensor harmonic waves.

Description

technical field [0001] The invention is a frequency-domain self-adaptive LMS (LeastMeanSquare) algorithm-based method for suppressing the harmonic vibration force of a maglev rotor, which suppresses the harmonic vibration of the maglev control moment gyroscope, so that the satellite with the maglev control moment gyroscope as the inertial actuator The platform meets the requirements of "ultra-stable and ultra-quiet". Background technique [0002] High-resolution earth observation and inter-satellite laser communication require a satellite platform with high pointing accuracy and high attitude stability to provide reliable, micro-vibration "ultra-quiet" conditions. Therefore, the research on ultra-quiet satellite platforms is very important. significance. Compared with the traditional mechanical bearing inertia actuator, the magnetic levitation control moment gyro is supported by magnetic bearing, which has no friction, long life, and can be actively controlled to achieve mi...

Claims

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Application Information

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IPC IPC(8): G01C19/24
CPCG01C19/24
Inventor 崔培玲张大川李胜高倩汪启睿
Owner BEIHANG UNIV
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