Identifying method for inertia shaft of full-automatic magnetic bearing system based on nonlinear self-adaption control

Abstract

The invention discloses an identifying method for an inertia shaft of a full-automatic magnetic bearing system based on nonlinear self-adaption control. The method comprises the following steps that firstly, a full-automatic magnetic bearing rotor dynamics model with rotor imbalance and displacement sensor harmonic noise is established; secondarily, a nonlinear self-adaption control rule and estimation rule are provided, the system stability and astringency of estimation parameters are proved, it is guaranteed that a magnetic suspension rotor inertia shaft displacement estimation value is convergent to zero, and meanwhile the high-level harmonic component fourier coefficient of displacement sensor harmonic noise is estimated; then, a variable rotation speed strategy is adopted, the same frequency component of displacement sensor harmonic noise and recognizable degree of rotor imbalance are improved, the fourier coefficient values of two same frequency components are solved, and finallyidentifying for the inertia shaft of the full-automatic magnetic bearing system is achieved. According to the identifying method for the inertia shaft of the full-automatic magnetic bearing system based on nonlinear self-adaption control, speed raising or speed reduction for one time is only needed, and identifying of the magnetic bearing inertia shaft can be achieved online, so that a magnetic suspension rotor rotates around the inertia shaft.

Description

technical field [0001] The invention belongs to the field of active vibration control of a magnetic bearing system, and in particular relates to a method for identifying an inertial axis of a fully active magnetic bearing system based on nonlinear adaptive control, which is used to identify a full vibration including rotor unbalance and sensor harmonic noise (Sensor Runout). The inertial axis of the active magnetic bearing system makes the magnetic levitation rotor rotate around the inertial axis, thereby realizing the harmonic vibration suppression of the magnetic bearing system. Background technique [0002] Compared with traditional mechanical bearings, magnetic bearings can achieve no contact between high-speed rotors and stators by changing their own bearing force, and have the advantages of high precision, high speed, low power consumption, long life, and low self-vibration. In addition, the most prominent advantage of magnetic bearings is that they can change their ow...

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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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