Performance Investigation of Generalized Predictive Position Control for a PMSM in View of Reference Trajectory Tracking

被引：3

作者：

Kiselev, Aleksej ^{[1
]}

Kuznietsov, Alexander ^{[1
]}

Leidhold, Roberto ^{[2
]}

机构：

[1] Mittelhessen Univ Appl Sci, Dept Informat Technol Elect Engn & Mechatron, Friedberg, Germany

[2] Otto von Guericke Univ, Inst Elect Power Syst, Magdeburg, Germany

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) | 2018年

关键词：

Model Predictive Control; Permanent Magnet Synchronous Motor; Position Control; Trajectory Tracking; DESIGN;

D O I：

10.1109/ICIT.2018.8352224

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, the research emphasis focuses on the investigation of tracking performance, provided by generalized predictive control (GPC) algorithm as position controller for a permanent magnet synchronous motor (PMSM). For this aim, a previously developed Laguerre functions extended GPC algorithm with explicit current and voltage constraint consideration is used for tracking a pre-known reference position trajectory. In order to evaluate the GPC tracking performance, the obtained results are compared to the tracking results, provided by the conventional PI-based field oriented control (FOC).

引用

页码：481 / 485

页数：5

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