Magnetic Field Based Sensing and Control in Mechatronic Systems

来源:机械工程学院  作者:高宏力     日期:2019/5/8 10:39:15   点击数:684  

时间:2019-05-12 15:00--2019-05-12 15:45


报告人:Kun Bai博士



Magnetic fields are widely utilized as media for energy conversion and information storage. Harnessing magnetic fields for sensing and control of mechatronic systems is a reliable and efficient means in harsh conditions as magnetic fields are invariant to temperature, pressure, radiation, and other environmental factors.  As compared to its noncontact counterparts, such as optical and vision-based sensors, magnetic sensors permit sensing across multiple nonferromagnetic mediums and allow detecting the interior of objects. The main obstacle preventing widespread adoption of such magnetic field-based noncontact sensors is the nonuniqueness in field sensing and the complexity involved in the inverse computations. Inspired by the developments in sensor fusion technology, new methods utilizing efficient magnetic-field models and multi-sensor approaches are pursed. The applications in multi-parameter sensing in manufacturing process and direct field-based control of a ball-joint-like spherical motor will be presented.


Dr. Kun Bai received his B.S. degree from Zhejiang University, China in 2006 and earned his M. S. and Ph. D. degrees from the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Atlanta, US in 2009 and 2012 respectively. Currently, he is Associate Professor with the State Key Laboratory of Digital Manufacturing Equipment and Technology and the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, China. His research interests include smart actuators/sensors and novel applications where he has published a book and over 30 papers.