CAP Seminar Series


Title:  Adaptive Feedforward Control of Sinusoidal Disturbances with Applications to Electric Propulsion Systems

Speaker: Bo Wahlberg, KTH Royal Institute of Technology

Venue: EENG 611

Date and Time: Monday 10 June 2024, 14:30-15:30

Abstract:  Generalized adaptive feedforward cancellation with a reference sensor is considered to specifically suppress second harmonic torque oscillations with an ac fed propulsion system for an electric train. A single complex-valued design parameter is tracked through gradient-type adaptation. Both Cartesian and polar parameter representations are considered, resulting in quite varying convergence properties. Three different adaptation algorithms are proposed and evaluated using power lab experiments. At fixed operating conditions, a Cartesian form parameter adaptation is shown to be more robust to the choice of initial conditions, whereas a polar form representation shows better performance when covering a wide range of operating points.

Biography:  Bo Wahlberg is the Professor of Chair in Automatic Control at KTH Royal Institute of Technology since 1991. He is a co-founder of the Centre of Autonomous Systems (CAS) at KTH and the Linnaeus Center ACCESS on networked systems at KTH . Bo Wahlberg is the KTH director and member of the program management of the Wallenberg AI, Autonomous Systems and Software Program (WASP). Bo Wahlberg was elected IEEE Fellow in 2007 for his contributions to system identification using orthonormal basis functions and to Fellow of IFAC in 2019 for his contributions to system identification and the development of orthonormal basis function models. Since 2023, he is a Fellow of the Royal Swedish Academy of Engineering Sciences (IVA), Electrical Engineering Division. Bo Wahlberg has received several awards, including the IEEE Transactions on Automation Science and Engineering Best New Application Paper Award in 2016. He is the author of over 250 scientific publications and has been the supervisor of more than 130 master’s students and 25 PhD students. His main research interest is in estimation and optimization in system identification, decision, and control systems with applications in the process industry and in transportation.

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