Current harmonic suppression method for magnetic suspension rotor system based on self-adaptive repetitive controller

Abstract

The invention relates to a harmonic current suppression method for a magnetic suspension rotor system based on a self-adaptive repetitive controller. The harmonic current suppression method comprises the following steps: firstly establishing dynamical models for the active-passive magnetic suspension rotor system containing unbalance and sensor harmonic waves, secondly designing the self-adaptive repetitive controller, and giving out the harmonic current suppression method according to the characteristics of the active-passive magnetic suspension rotor system. The method is suitable for harmonic current suppression of an active magnetic bearing coil of the active-passive magnetic suspension rotor under the condition that unbalance mass and the sensor harmonic waves exist, and is high in precision and high in rate of convergence.

Description

Technical field [0001] The invention relates to a method for suppressing current harmonics of a magnetic suspension rotor system based on an adaptive repetitive controller, which is used for the current of the magnetic suspension rotor of a micro-vibration actuator such as a magnetic suspension control moment gyroscope or a magnetic suspension flywheel used for attitude control of an "super static" satellite platform Harmonic suppression. Background technique [0002] The magnetic levitation control moment gyroscope uses magnetic bearings to replace conventional mechanical bearing supports, which can fundamentally solve the friction and vibration problems existing in traditional mechanical bearings. It not only has the outstanding advantages of high precision, low vibration, long life, high speed, etc., but also in function There are potential technical advantages in terms of density, volume, weight, and power consumption. It is one of the ideal executive agencies for long-term o...

AI Technical Summary

Problems solved by technology

There are many examples of successful application of repetitive controllers in power electronics, such as motor systems, and good engineering results have been achieved; however, magnetic bearing systems are different from motor systems, and existing repetitive controllers cannot be directly applied. The main reasons are: (1) In the existing repetitive controllers, in order to satisfy the minimum gain theorem, a low-pass filter is generally added to the internal model, but the high-frequency harmonics cannot be effectively suppressed; (2) The existing repetitive controllers control the gain The selection is a definite value, which cannot be adaptively changed with the size of the tracking error, which affects the convergence speed of the repetitive controller

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