A Fixed-Point Iteration Scheme for Model Predictive Torque Control of PMSMs

被引:9
|
作者
Englert, Tobias [1 ]
Graichen, Knut [1 ]
机构
[1] Ulm Univ, Inst Measurement Control & Microtechnol, D-89081 Ulm, Germany
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 20期
关键词
nonlinear MPC; embedded optimization; augmented Lagrangian method; fixed-point iteration; permanent magnet synchronous machine;
D O I
10.1016/j.ifacol.2018.11.030
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a tailored fixed-point iteration scheme for the model predictive torque control of permanent magnet synchronous machines. Both spherical voltage and current constraints are taken into account using a projection function and an augmented Lagrangian approach. The fixed-point scheme is a continuous control set approach and is based on the nonlinear dq-model. The inductivities and permanent magnet flux are modelled current dependently and therefore account for saturation and parasitic effects. Experimental results on a standard dSpace hardware show the performance as well as the very small computational load of the proposed torque control scheme, which is therefore suitable for an embedded implementation. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:568 / 573
页数:6
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