Method for high frequency dynamic hysteresis compensation of magnetic bearing based on loss mechanism decomposition
By employing a composite feedforward model based on Bertotti loss separation theory and an improved MPI inverse model, combined with a fast linear expansion state observer and a shadow model residual purification mechanism, precise compensation for high-frequency dynamic hysteresis of magnetic bearings was achieved, thus solving the control accuracy and stability problems of magnetic bearings under high-speed operating conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN UNIV OF TECH
- Filing Date
- 2026-03-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing magnetic bearings exhibit deep coupling between hysteresis and eddy current effects under high-speed and high-frequency operating conditions, resulting in a nonlinear hysteresis effect between magnetic flux density and magnetic field strength. This reduces the accuracy of rotor suspension position control and makes it difficult to achieve high-precision closed-loop compensation.
A composite feedforward model is constructed based on Bertotti loss separation theory. An improved MPI inverse model and a fast linear expansion state observer are used, combined with the shadow model residual purification mechanism, to decouple and compensate for high-frequency eddy currents and abnormal losses. Accurate tracking of dynamic hysteresis is achieved by adaptively updating the inverse model weights.
It improves the hysteresis compensation accuracy and current-magnetic linearity of magnetic bearings under high-speed dynamic conditions, solves the problems of hysteresis loop distortion and static inverse model compensation failure, and enhances the system's stability and ability to adapt to complex working conditions.
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