Novel Predictive Start-up Algorithm for Soft Starter Driven Induction Motors

被引：0

作者：

Nannen, Hauke ^{[1
]}

Zatocil, Heiko ^{[1
]}

Griepentrog, Gerd ^{[2
]}

机构：

[1] OTH Tech Univ Appl Sci, Amberg, Germany

[2] Inst Power Elect & Control Drives, Darmstadt, Germany

来源：

IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2020年

关键词：

Induction Machine Drives; Modulation and Control Strategies for Power Electronics; Drive Application; TORQUE;

D O I：

10.1109/iecon43393.2020.9254482

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 presents a new model predictive algorithm for induction motors driven by a soft starter. The predictive algorithm idea and equations that are used for the calculation of the system behaviour are discussed in detail. Decision criteria are introduced and defined for different aspects. Measurements of predictive and classic start-ups are done under different load conditions and then compared. Also, the capabilities, the advantages and opportunities of the new approach are discussed.

引用

页码：3071 / 3078

页数：8

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