Abstract
Active magnetic bearing (AMB) systems applied in high-speed turbomachinery and compressors are subject to severe internal and external dynamic forces that induce structural resonances and vibrations. Standard state-feedback approaches rely heavily on high plant model fidelity and require extensive calibration time, while remaining vulnerable to model-mismatch state disturbances caused by in-controller parameter uncertainties. This proposed solution discloses an advanced control method that integrates an Input Disturbance Observer (IDO) methodology with an Iterated Linear-Quadratic (ILQ) state-feedback controller. The framework dynamically estimates and counteracts external loads and model-mismatch discrepancies directly within the magnetic bearing force domain. This design eliminates the need for exhaustive calibration routines and improves active control performance, yielding an approximate 25% reduction in control tracking error compared to a standard state-feedback approach.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
"Advanced Control Method for Magnetic Bearings in High-Speed Shaft Systems", Technical Disclosure Commons, (September 21, 2026)
https://www.tdcommons.org/dpubs_series/11779