
Non‐linear MPC for winding loss optimised torque control of anisotropic PMSM
Author(s) -
Schnurr Christoph,
Hohmann Sören,
Kolb Johannes
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8143
Subject(s) - control theory (sociology) , torque , model predictive control , tracking (education) , magnet , computer science , controller (irrigation) , coupling (piping) , permanent magnet synchronous motor , control engineering , control (management) , engineering , physics , mechanical engineering , artificial intelligence , psychology , pedagogy , agronomy , biology , thermodynamics
For a non‐linear anisotropic permanent magnet synchronous machine (PMSM), a prediction model for model predictive control (MPC) considering effects like cross‐coupling and saturation is developed in a straight forward procedure. The objective of the designed MPC is either tracking of reference currents or torque tracking. Both approaches use the projected fast gradient method (PFGM) as optimisation algorithm. The latter approach makes look‐up‐tables for current references obsolete and additionally minimises winding losses. This two approaches are compared in a simulation study with a state of the art PI controller.