Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

A Method Based on Measured Boundary Conditions for Reconstructing the Magnetic Field Distribution of an Electromagnetic Mechatronic System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Liang Hu ; State Key Lab. of Fluid Power Transm. & Control, Zhejiang Univ., Hangzhou, China ; Kok-Meng Lee ; Xin Fu

This paper presents a cost-effective method for reconstructing the magnetic field distribution (MFD) from measured data of an electromagnetic mechatronic system (EMS). MFD predictions and measurements for model-based force/torque calculation and magnetic sensors are common problems in EMS where permanent magnets (PMs) and/or electromagnets are employed. In this method, the MFD is reconstructed in the current-free space by solving the Laplace's equation of a magnetic scalar potential with measured boundary conditions (BCs). The reconstruction method, which relaxes the assumption of known magnetic structures commonly made in the magnetic models for design analysis, requires only the normal component of the magnetic flux density on its boundary surface. Two practical applications are given to illustrate the reconstruction method. The first example illustrates the reconstruction of the MFD from published data of a spherical rotor with embedded PMs for a ball-joint-like motor, where the MFD is essential for the Lorentz force computation. The second example reconstructs the MFD in a circular pipe of an electromagnetic flowmeter, where the MFD is essential for the sensitivity computation. Both reconstructions have been experimentally validated by comparing the MFD against measured data. Both comparisons show excellent agreements. In addition, a gradient-based data distribution on MFD is also discussed to illustrate how the BCs are employed for the reconstruction process.

Published in:

Mechatronics, IEEE/ASME Transactions on  (Volume:15 ,  Issue: 4 )