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
收藏
页码：481 / 485
页数：5
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