Non-linear MPC for winding loss optimised torque control of anisotropic PMSM

被引：3

作者：

Schnurr, Christoph ^{[1
]}

Hohmann, Soeren ^{[1
]}

Kolb, Johannes ^{[2
]}

机构：

[1] Karlsruhe Inst Technol, Inst Control Syst, Karlsruhe, Germany

[2] Schaeffler Technol AG & Co KG, SHARE KIT, Karlsruhe, Germany

来源：

JOURNAL OF ENGINEERING-JOE | 2019年 / 17期

关键词：

synchronous machines; control system synthesis; gradient methods; torque control; permanent magnet machines; predictive control; machine control; nonlinear control systems; optimisation; electric current control; nonlinear MPC; nonlinear anisotropic permanent magnet synchronous machine; prediction model; model predictive control; cross-coupling; reference currents; torque tracking; projected fast gradient method; optimisation algorithm; winding loss optimised torque control; anisotropic PMSM; MODEL-PREDICTIVE CONTROL;

D O I：

10.1049/joe.2018.8143

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：4252 / 4256

页数：5

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