Online active vibration control for the magnetic suspension rotor using least mean square and polynomial fitting.

Magnetic bearings are widely used in fields such as fluid machinery, aerospace, and marine vessels due to their properties of non-mechanical contact. Due to errors in manufacturing and assembly, unbalanced forces will be generated when the magnetic suspension rotors rotate, especially at high speed, which can easily cause strong vibration of the equipment. The control compensation algorithm of minimum displacement for the rotor is to adjust the control current of the magnetic bearing based on speed and unbalanced quantity, so that the rotor rotates around its centre of the geometric as much as possible, in order to reduce rotor displacement vibration and ensure the reliable and safe operation of the equipment. However, owing to the presence of speed changes and phase lag, it is necessary to continuously and repeatedly calculate the unbalanced compensation coefficient, which increases the computational complexity and affects the control effect of the magnetic suspension rotor. Therefore, this paper proposes a method based on LMS (Least Mean Square) and polynomial fitting to calculate the unbalanced compensation coefficient, obtaining the compensation amplitude and phase of the unbalanced vibration of the magnetic suspension rotor at different speeds, solving the problem of active unbalanced vibration control for the magnetic suspension rotor at any speed, and providing guarantee for the application of the magnetic suspension rotor in high-speed rotating machinery. [ABSTRACT FROM AUTHOR]