Abstract
Aiming at the problem that rotor displacements in magnetic bearing system are difficult to be accurately detected, a soft sensing method based on continuous hidden Markov model (CHMM) is proposed. First, the structure and operation principle of a 3-degree-of-freedom hybrid magnetic bearing (3-DOF-HMB) is described, and its nonlinear mathematical model is derived by using equivalent magnetic circuit method. Then, combining the well prediction ability of CHMM, a position prediction model is built by collecting representative current-displacement data. The accuracy of established model is promised by comparing the predicted results with the rest collected data. Finally, a 3-DOF-HMB system based on the CHMM is established for the simulation, and the mean squared error is taken as model evaluation index to compare predictive ability of the proposed model and other self-sensing models, showing that the proposed model has higher accuracy. The experiment results verify the well performance of anti-interference.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
