报 告 人：Rakkiyappan Rajan，印度巴拉蒂尔大学（Bharathiar University, India）助理教授
报告题目：Adaptive fractional fuzzy integral sliding mode control for PMSM model
内容简介：This lecture aims to address the stabilization problem of permanent magnet synchronous motor (PMSM) based wind energy conversion system (WECS) through a novel adaptive fractional fuzzy integral sliding mode control (FFISMC) scheme in contrast to the traditional integer order control schemes. The main objective of modeling the fractional order control for nonlinear PMSM is to enhance the convergence rate which is effectively better when compared to integer order control schemes. In this regard, firstly, the nonlinear PMSM model is transformed into equivalent linear sub-models through an effective Takagi-Sugeno (T-S) fuzzy membership rules. Then, a novel automated (adaptive) controller is designed along with fractional sliding surface which involves an integral term to control the considered PMSM. In general, adaptive controllers are much more effective than manual controllers. Further, the sufficient conditions are derived in terms of linear matrix inequalities via constructing the novel fractional fuzzy Lyapunov functional with quadratic terms, which guarantees the global stabilization of PMSM-based WECS. Overall performance and effectiveness of the proposed theoretical results are demonstrated through numerical simulations.
报告人简介：Rakkiyappan Rajan was an undergraduate student in the field of Mathematics during 1999–2002 from Sri Ramakrishna Mission Vidyalaya College of Arts and Science and a post graduate in Mathematics from PSG College of Arts and Science affiliated to Bharathiar University, Coimbatore, Tamil Nadu, India from 2002–2004. He was awarded his Doctor of Philosophy in the year 2011 from the Department of Mathematics, Gandhigram Rural University, Gandhigram, Tamil Nadu, India. Presently, he is with Department of Mathematics, Bharathiar University, Coimbatore as a working as an Assistant Professor. He has visited as a Research Professor the Research Center for Wind Energy Systems, Kunsan National University, 558 Daehak-ro, Gunsan-si 54150, Republic. of Korea from June-2017 to May-2018. His research interests include time delay systems, neural networks, complex systems, and fractional order systems. To his credit, he has published more than 175 papers in international SCI and SCIE journals.