Modeling, Analysis and Advanced Control with Applications for Mchatronic Systems
Abstract:
For mechatronic systems, nonlinearities (frictions, backlash, saturation, etc.), complex internal dynamics, time-varying parameters, external disturbances, and complex work tasks make control design a very challenging work. In this talk, we will discuss various advanced modeling, analysis, and control techniques for mechatronic control systems. Compared with high gain control and integral control methods, disturbance estimation based control provides a different way to handle disturbance. Disturbance estimation based robust control method can effectively improve the disturbance rejection ability and ensure the robustness of the closed-loop system. Some new research developments and results on this topic will be introduced. Considering the characteristics of the mechatronic control system, several kinds of composite control design schemes based on disturbance estimation and compensation are presented with experimental or application verification results.
Bio:
Shihua Li (Fellow of IEEE and IET), was born in Pingxiang, Jiangxi Province, China in 1975. He received his bachelor's, master's, Ph.D. degrees all in Automatic Control from Southeast University, Nanjing, China in 1995, 1998 and 2001, respectively. Since 2001, he has been with the School of Automation, Southeast University, where he is currently a professor, Vice Dean of the School of Automation (2016.1~). He is also the Secretary-General of the Jiangsu Association of Automation. His main research interests include modeling and nonlinear control theory (nonsmooth control, sliding mode control, disturbance rejection control, adaptive control, etc) with applications to mechatronic systems, including motion control, automobile engine control, manipulator, robot, power electronic systems, etc.
He serves as associate editors of IEEE Transactions on Industrial Electronics, International Journal of Robust and Nonlinear Control, IET Control Theory & Applications, Advanced Control for Applications, etc.
He is the chairman of the IEEE IES Nanjing Chapter, a member of the Technical Committee on Nonlinear Systems and Control, Technical Committee on System Identification and Adaptive Control, Technical Committee on Variable Structure Systems and Sliding Mode Control of the IEEE CSS, and a member of Electrical Machines Technical Committee, Motion Control Technical Committee of the IEEE IES. Fellow of IEEE and IET. He is a member of the Technical Committee on Control Theory of the Chinese Association of Automation. He visited UC Berkeley from 2006.9-2007.9, RMIT University 2011.3-2011.6, University of Minnesota at Twin Cities 2012.4-2012.10, University of Hong Kong 2014.6-2014.8 and University of Western Sydney 2017.7-2017.8.
He has published over 200 research papers, among them over 100 international journal papers. He is one of Clarivate Analytics (originally Thomson Reuters) Highly Cited Researchers (Engineering) all over the world in 2017-2019, one of the Most Cited Chinese Researchers from Elsevier (Control and system engineering), 2015-2019. He is a winner of the best paper in the IET Control Theory & Applications 2017, a winner of the annual ICI prize for best paper in the Transactions of the Institute of Measurement 2016, and a winner of outstanding paper at 2019 SAMCON conference.