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Intelligent Fault Tolerant Control for Light Electric Vehicles' Motor Drive Systems

This dissertation presents an innovative approach to fault tolerant control in motor drive systems, specifically for light electric vehicles (LEVs), amid growing concerns over the greenhouse effect and fossil energy shortages. By developing a digital signal processor (DSP)-based intelligent control system for six-phase permanent magnet synchronous motors (PMSMs), the research aims to enhance operational stability and safety in LEV applications. The proposed system ensures continued functioning under failure conditions, making it a critical advancement for future transportation solutions.

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Intelligent Fault Tolerant Control for Light Electric Vehicles' Motor Drive Systems

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  1. 特邀学术报告

  2. 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 six-phase 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.

  3. 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.

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