Transcript 附件：Prof. Faa-Jeng Lin Poster

报告题目：
特邀学术报告
Intelligent Fault Tolerant Control of
Six-Phase Permanent Magnet Synchronous
Motor Drive System for Light Electric Vehicle
报 告 人：Prof. Faa-Jeng Lin 林法正教授
Electric Machinery and Control Laboratory
Department of Electrical Engineering National
Central University，Taiwan
报告时间：2014年7月8日，
星期二，下午3:00
报告地点：清华大学西主楼2区308
主办单位：清华大学电机系
联 系 人：王善铭
Abstract: (报告内容)
Due to the greenhouse effect and fossil energy shortage, the
concept of carbon reduction and energy saving has been valued
highly. Thus, light electric vehicles (LEVs) with high energy
efficiency and low emissions are believed to be the best choice of
transportation in the future.
Fault tolerant control for a motor drive system enables a motor to
continue operating properly in the event of the failure.
The purpose of this dissertation is to develop a digital signal
processor (DSP)-based intelligent fault tolerant control of sixphase permanent magnet synchronous motor (PMSM) drive
system.
The developed intelligent fault tolerant control motor drive
system will be applied to an in-wheel motor drive system in LEV
to fulfill the requirements of the safety and system stability in
LEV applications.
Short Bio: (报告人简介)
F. J. Lin is currently Chair Professor at the Department of Electrical
Engineering, National Central University, Chung-Li, Taiwan. His
research interests include intelligent control theories (fuzzy systems,
neural networks and evolutionary computation), nonlinear control
theories (adaptive and sliding-mode), control theory applications,
AC motor servo drives, ultrasonic motor drives, wind turbine
generation systems, inverters/converters, DSP-based computer
control systems and microgrid. He has published nearly 180 SCI
journal papers including 80 IEEE Trans. papers and 109 conference
papers in the areas of intelligent control, nonlinear control, motor
drives, and mechatronics. Several of these papers have helped to
establish research areas such as fuzzy neural network control of
motor drives and motion control systems, and resonant converters
for piezo-ceramic motor drives. His work has been widely cited; his
H-index of 30 in Web of Science reflects over 3100 citations.