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Magnetic bearing system inertia axis identification method based on nonlinear self-adaptive algorithm

A technology of self-adaptive algorithm and identification method, which is applied to measuring devices, instruments, rotating gyroscopes, etc., can solve the problems of slow parameter convergence speed and excessive initial current

Active Publication Date: 2017-01-04
BEIHANG UNIV
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Problems solved by technology

In addition, the nonlinear adaptive control law in the present invention solves the problems of excessive initial current and slow convergence speed of parameters when using traditional linear algorithms

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  • Magnetic bearing system inertia axis identification method based on nonlinear self-adaptive algorithm
  • Magnetic bearing system inertia axis identification method based on nonlinear self-adaptive algorithm
  • Magnetic bearing system inertia axis identification method based on nonlinear self-adaptive algorithm

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation steps.

[0051] Such as figure 1 As shown, the present invention relates to a method for identifying the inertial axis of a magnetic bearing system based on a nonlinear self-adaptive algorithm. The cause and existence form of harmonic vibration; secondly, a nonlinear adaptive control algorithm is designed to realize the estimated value of the inertial center displacement of the maglev rotor converging to zero, and adaptively estimate the rotor unbalance and the Fourier coefficients of each harmonic component of the SensorRunout; Then, the identification of the same frequency component of Sensor Runout and rotor unbalance is realized by changing the strategy of rotor speed, that is, the identification of the inertial axis is realized; finally, the harmonic components of Sensor Runout and the Fourier coefficient of rotor unbalance in the nonlinea...

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Abstract

The invention relates to a magnetic bearing system inertia axis identification method based on a nonlinear self-adaptive algorithm. Firstly, a magnetic bearing system rotor dynamics model including unbalance and Sensor Runout is established; secondly, a nonlinear self-adaptive control law and an estimation law are provided, and Fourier coefficients of Sensor Runout higher harmonic components can be also estimated while the estimated value of the inertia center displacement of a magnetic suspension rotor tends to zero; then, identification of Sensor Runout synchronous components and the unbalance amount of the rotor is achieved by changing the rotation speed strategy of the rotor and increasing the observability degree of a system, namely the identification of inertia axis is achieved; finally, the Fourier coefficients of the synchronous components in a self-adaptive algorithm are corrected, multi-harmonic current is accurately inhibited, displacement stiffness is compensated, and multi-harmonic vibration control of a magnetic-suspension inertia executing mechanism is achieved.

Description

technical field [0001] The invention relates to a method for identifying an inertial axis of a magnetic bearing system based on a nonlinear self-adaptive algorithm, which is used to identify the inertial axis of a magnetic bearing system including rotor unbalance and sensor harmonic noise (Sensor Runout), so as to realize multiple functions of a magnetic levitation inertial actuator. Harmonic vibration suppression enables the magnetic levitation inertial actuator to meet the requirements of the "ultra-quiet and ultra-stable" satellite platform for extremely slight vibration in the future, and belongs to the field of active vibration control of magnetic bearing systems. Background technique [0002] With the development of ultra-high-resolution satellites such as high-resolution earth observation, deep space exploration, and inter-satellite laser communication, ultra-quietness and agility have become two important indicators for measuring the performance of satellite platforms...

Claims

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Application Information

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IPC IPC(8): G01C19/24G01C25/00
CPCG01C19/24G01C25/005
Inventor 房建成张会娟刘刚刘虎张染陈曦
Owner BEIHANG UNIV
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