Évènements

Model Predictive Control and Estimation for Motor Drive Systems

Date : 04/07/2023
Catégorie(s) : ,
Lieu : Salle du Conseil (4th floor), Bât. Breguet, CentraleSupélec 3 rue Joliot Curie 91190 Gif-sur-Yvette, France

Tuesday 4th July at 14:00, in Salle du Conseil (4th floor), Bât. Breguet.

Salle du Conseil (4th floor), Bât. Breguet, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

Speaker: Matthias Preindl, Associate Professor at Columbia University

Title: Model Predictive Control and Estimation for Motor Drive Systems

Abstract: This talk explores motor drives research and results that leverage optimization tools to achieve high-performance control and estimation with focus on model predictive control (MPC) and optimization-based estimation (OBE). MPC is capable of addressing multidimensional nonlinear systems with state and input constraints by solving a constrained finite time optimal control problem taking 𝑁 future time steps into account. The dual, OBE, solves constrained finite time optimal estimation problem taking 𝑀 past time steps into account. High fidelity static and dynamic motor models are achieved by introducing piecewise affine (PWA) and piecewise quadratic (PWQ) maps. The resulting (nonlinear) hypersurfaces are used to describe real-world behavior including magnetic saturation, AC winding, and core loss models.
The concepts are discussed on the example of a model predictive direct torque control scheme that minimizes electromagnetic motor losses below base speed and in field weakening conditions, and does not require a dedicated MTPA or field weakening scheme. The second example is an optimization-based position and speed estimation scheme that obtains convergence guarantees, and operates about 20-100 times faster than conventional methods.

Bio: Matthias Preindl received the B.Sc. degree from the University of Padua (summa cum laude, 2008), the M.Sc. degree from ETH Zurich (2010), and the Ph.D. degree from the University of Padua (2014), in electrical engineering. He is an Associate Professor at Columbia University, USA. Prior to joining Columbia in 2016, he was an R&D Engineer of Power Electronics and Drives at Leitwind AG (2010-2012), a Post-Doctoral Research Associate at McMaster University, Canada (2014-2015).
Dr. Preindl serves as Area Editor of IEEE Transactions on Vehicular Technology and was the general chair of 2022 IEEE/AIAA ITEC+EATS. He is a Fellow of IET, recipient of the NSF CAREER Award (2017), IEEE Transactions on Industrial Electronics best paper award (2019) and co-recipient of Fast Company’s World Changing Ideas Awards honorable mention (2022). His research interests include the design and control of motor drives, power electronics, and batteries for transportation electrification and renewable energy.