A Multichannel Magnetic Flux Controller for Periodic Magnetizing Conditions

International standards for testing soft magnetic materials require that the magnetic flux density remain sinusoidal with respect to time. Traditionally, this has been achieved via control of the magnetic flux using either analog feedback, which provides real-time control, or iterative digital feedback, which yields more accurate solutions with the cost of increased convergence time. In certain applications, such as magnetic nondestructive testing, rapid convergence of multiple interacting flux controlled channels is required. In this paper, a multichannel flux controller design is presented that combines the real-time performance of analog feedback with an iterative digital feedback algorithm to reduce error. The system demonstrates a 95% reduction in convergence time at power line frequencies over a comparable system using only digital feedback. Several examples of the system's ability to control arbitrary periodic waveforms are presented over the frequency range from 0.735 Hz to 100 Hz. Sinusoidal form factor errors are shown to be 0.1% from 2 Hz to 100 Hz across four strongly coupled channels with highly nonlinear magnetizing conditions. A detailed description of both analog circuit and digital algorithms is provided.

[1]  P. Anderson Measurement of the stress sensitivity of magnetostriction in electrical steels under distorted waveform conditions , 2008 .

[2]  Toshiyuki Takagi,et al.  Governing conditions of repeatable Barkhausen noise response , 2009 .

[3]  Turgut Meydan,et al.  A new adaptive automated feedback system for Barkhausen signal measurement , 2006 .

[4]  T. Meydan,et al.  Use of novel adaptive digital feedback for magnetic measurements under controlled magnetizing conditions , 2005, IEEE Transactions on Magnetics.

[5]  Qing-Chang Qu Precise magnetic properties measurement on electrical sheet steels under deep saturation , 1984 .

[6]  Yang Zhan,et al.  Identification of Flux Density Harmonics and Resulting Iron Losses in Induction Machines With Nonsinusoidal Supplies , 2008, IEEE Transactions on Magnetics.

[7]  F. Fiorillo,et al.  An improved approach to power losses in magnetic laminations under nonsinusoidal induction waveform , 1990 .

[8]  QUANTITATIVE ANALYSIS OF SURFACE BARKHAUSEN NOISE MEASUREMENTS , 2008 .

[9]  T. Krause,et al.  Control of flux in magnetic circuits for Barkhausen noise measurements , 2007 .

[10]  P. Marketos,et al.  Generalization of the Classical Method for Calculating Dynamic Hysteresis Loops in Grain-Oriented Electrical Steels , 2008, IEEE Transactions on Magnetics.

[11]  H. B. Gould,et al.  Supermendur: A new rectangular-loop magnetic material , 1957, Electrical Engineering.

[12]  Measuring and control the hysteresis loop by using analog and digital integrators , 2008 .

[13]  Vygantas Stasy Augutis,et al.  Advances of Barkhausen Emission Measurement , 2006, IEEE Transactions on Instrumentation and Measurement.

[14]  P. Marketos,et al.  Measurement and Modeling Study of B-H loops and Losses of High Silicon Non Oriented Steels , 2006, INTERMAG 2006 - IEEE International Magnetics Conference.

[15]  G. Birkelbach,et al.  Very low frequency magnetic hysteresis measurements with well-defined time dependence of the flux density , 1986 .

[16]  N. Sadowski,et al.  Vector Hysteresis Under Nonsinusoidal Induction Waveforms: Modeling and Experimentation , 2008, IEEE Transactions on Magnetics.

[17]  P. Marketos,et al.  Power Loss Measurement and Prediction of Soft Magnetic Powder Composites Magnetized Under Sinusoidal and Nonsinusoidal Excitation , 2008, IEEE Transactions on Magnetics.

[18]  P. Marketos,et al.  Measurement and Modeling of$B$–$H$Loops and Losses of High Silicon Nonoriented Steels , 2006, IEEE Transactions on Magnetics.