Self-Sensing Magnetic Suspension Using Hysteresis Amplifiers

Self–Sensing Magnetic Bearings Using Parameter Estimation

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 model reference parameter estimation technique which ext...

Modulated self-reversed magnetic hysteresis in iron oxides

The steadfast rule of a ferromagnetic hysteresis loop claims its saturation positioned within the first and third quadrants, whereas its saturation positioned in the second and fourth quadrants (named as self-reversed magnetic hysteresis) is usually taken as an experimental artifact and is always intentionally ignored. In this report, a new insight in this unique hysteresis phenomenon and its m...

Robustness of Self-Sensing Magnetic Bearing

Self-sensing magnetic bearings work without position sensors. The position measurement, which is required by the controller, can be deduced from the electromagnetic interaction between stator and rotor. The self-sensing method discussed in this paper is based on controlling the voltage over the coils and measuring the current through the coils. This method can be realized with a minimal amount ...

Magnetic Suspension and Self-pitch for Vertical-axis Wind Turbines

Magnetic hysteresis modeling from measured data using fuzzy logic

This paper propose an accurate Fuzzy model for describing dynamic hysteresis of ferromagnetic material from measured data using soft computing approaches. We highlighted a fuzzy dynamic model based on measured and normalized input/output data on a C core transformer made of 0.33mm laminations of cold rolled SiFe. Membership’s functions of fuzzy rules are obtained by using the Expectation-Maximi...