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Open AccessArticle

Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines

Institute of Electrical Engineering (ETI), Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131 Karlsruhe, Germany
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Energies 2020, 13(20), 5327; https://doi.org/10.3390/en13205327
Received: 27 August 2020 / Revised: 25 September 2020 / Accepted: 12 October 2020 / Published: 13 October 2020
(This article belongs to the Special Issue Permanent Magnet Electrical Machines)
This paper presents an extended predictive trajectory control scheme combined with an inner torque ripple minimization considering the current-, flux-linkage-, and voltage-planes of permanent magnet synchronous machines. The extension of a fundamental machine model with flux-linkage harmonics allows the calculation of the inner torque ripple and enables its minimization. For this, the control is divided in two cases: (1) The dynamic operation or large signal behavior which uses the maximal torque gradient for the trajectory strategy during each control period for fastest dynamic operation, and (2) The stationary operation or small signal behavior, utilizing a real time capable polynomial approximation of the rotor position dependent torque hyperbolas (iso-torque curves) of permanent magnet synchronous machines for the ideal torque to current reference values. Since dynamic and steady-state operation is covered, torque to current look-up tables, such as maximum torque per ampere (MTPA)/maximum torque per volt/voltage (MTPV) look-up tables, are not required anymore. The introduced, new control approach is implemented in Matlab/Simulink based on finite element analysis and measured data. Furthermore, test-bench implementations based on measurement data are presented to show the real-time capability and precision. View Full-Text
Keywords: permanent-magnet synchronous machine; predictive control; trajectory control; online maximum torque per current; optimal control; torque ripple minimization permanent-magnet synchronous machine; predictive control; trajectory control; online maximum torque per current; optimal control; torque ripple minimization
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MDPI and ACS Style

Decker, S.; Brodatzki, M.; Bachowsky, B.; Schmitz-Rode, B.; Liske, A.; Braun, M.; Hiller, M. Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines. Energies 2020, 13, 5327. https://doi.org/10.3390/en13205327

AMA Style

Decker S, Brodatzki M, Bachowsky B, Schmitz-Rode B, Liske A, Braun M, Hiller M. Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines. Energies. 2020; 13(20):5327. https://doi.org/10.3390/en13205327

Chicago/Turabian Style

Decker, Simon; Brodatzki, Matthias; Bachowsky, Benjamin; Schmitz-Rode, Benedikt; Liske, Andreas; Braun, Michael; Hiller, Marc. 2020. "Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines" Energies 13, no. 20: 5327. https://doi.org/10.3390/en13205327

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