0 GClDdjk0KR4OIIMO5_22egw_0_0 MEIE2024 https://www.pasanhu.cn/Resource/PaseCN/Photo/21f021cc-0a2e-404c-a50a-7aece99b3532.jpeg Distinguished Prof. Dr.-Ing. Paolo Mercorelli Sliding Mode Control Strategies for Maglev Systems based on Kalman Filtering <_abstract>The aim of the talk is to show the control of a magnetic levitation (Maglev) system using a Backstepping-based variant in different sliding mode control (SMC) strategies. The Maglev system considered in this paper has no sensor for measuring the velocity, which is necessary for the application of SMC. For that reason, a Kalman filter is derived to optimally estimate this state variable. The proposed controllers are evaluated and compared based on extensive simulation studies, with and without additive disturbances, in order to compare their robustness. Institute for Production Technology and Systems (IPTS), Leuphana University of Lueneburg, Germany. Head of Unit, Control and Drive Systems, Editor-in-Chief, WSEAS Transactions on Computer Research, Section Editor in Chief of "Engineering Mathematics"in "Mathematics" a Journal from MDPI publishers, Basel, Switzerland https://www.pasanhu.cn/images/VideoImg/MEIE%202024/Prof.%20Dr.-Ing.%20Paolo%20Mercorelli.jpg https://www.pasanhu.cn/images/VideoImg/MEIE%202024/Prof.%20Dr.-Ing.%20Paolo%20Mercorelli.jpg