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Self-sensing magnetic bearings using parameter estimation
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DOI：10.1109/19.552155.png)
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Abstract
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A signal processing technique is presented by which the position of a rotor supported in magnetic bearings may be deduced from the bearing current waveform, The bearing currents are presumed to be developed with a two-state switching amplifier which produces a substantial high-frequency switching ripple. This ripple is demodulated using a parameter estimation technique which extracts the length of the bearing air gap while rejecting the influence of amplifier voltage and duty-cycle variation, The performance of the estimator is evaluated both by simulation and experiment, The method is demonstrated to produce a sensor with bandwidth of at least 1 kHz and acceptably low feed-through of the bearing force.
Keywords:
magnetic bearings
parameter estimation
variable reluctance sensor
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