123-自动化学院
学术动态
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
  自动化学术论坛[2019第6…
 
自动化学术论坛[2019第69期]:美国弗吉尼亚大学林宗利教授学术报告会

报告时间:726日(星期五)15:30

报告地点:信息楼自动化学院316会议室

人:林宗利,美国弗吉尼亚大学(University of Virginia)教授

报告题目:On the Application of Characteristic Model Based All Coefficient Adaptive Control on

                    Active Magnetic Bearing Systems

内容简介:The basic idea of characteristic modeling is that a higher order system can be represented equivalently as a lower order, often first and second order, time-varying linear system, which, when the sampling period is sufficiently small, has the same output as the original system at the sampling instants. This lower order system is called the characteristic model of the system. The time-varying coefficients of the characteristic model, referred to as the characteristic parameters, are then identified online adaptively. Based on the characteristic model, a simple PID type control law is designed. The resulting feedback law is referred to as the characteristic model based all-coefficient adaptive control (ACAC) law. As a result, no mathematical model is required in the design and implementation of a characteristic model based ACAC law. In this talk, we will present some of our recent results on the implementation of the characteristic ACAC on an experimental test rig for high speed energy storage flywheels suspended on magnetic bearings. Extensive numerical simulation and experimental results indicate that this model free control law outperforms the µ-synthesis control law that was originally designed when the experimental platform was built in terms of their ability to suppress the vibration on the high speed test rig and possesses considerable robustness with respect to plant uncertainties, external disturbances and time delay.

报告人简介:Zongli Lin is the Ferman W. Perry Professor in the School of Engineering and Applied Science and a Professor of Electrical and Computer Engineering at University of Virginia. He received his B.S. degree in mathematics and computer science from Xiamen University, Xiamen, China, in 1983, his Master of Engineering degree in automatic control from Chinese Academy of Space Technology, Beijing, China, in 1989, and his Ph.D. degree in electrical and computer engineering from Washington State University, Pullman, Washington, in 1994. His current research interests include nonlinear control, robust control, time delay systems, and control applications. He was an Associate Editor of the IEEE Transactions on Automatic Control (2001-2003), IEEE/ASME Transactions on Mechatronics (2006-2009) and IEEE Control Systems Magazine (2005-2012). He was elected a member of the Board of Governors of the IEEE Control Systems Society (2008-2010, 2019-2021) and chaired the IEEE Control Systems Society Technical Committee on Nonlinear Systems and Control (2013-2015). He has served on the operating committees several conferences and was the program chair of the 2018 American Control Conference and a general chair of the 13th and 16th International Symposium on Magnetic Bearings (2012, 2018). He currently serves on the editorial boards of several journals and book series, including Automatica, Systems & Control Letters, Science China Information Sciences, and Springer/Birkhauser book series Control Engineering. He is a Fellow of IEEE, IFAC, AAAS (American Association for the Advancement of Science) and CAA (Chinese Association of Automation).