Implementation of nonlinear neural observer for electric drive with complex mechanical part

被引：0

作者：

Kaminski, Marcin ^{[1
,2
]}

机构：

[1] Wroclaw Univ Technol, Wydzial Elektryczny, Katedra Maszyn Napedow & Pomiarow Elektrycznych, Wroclaw, Poland

[2] Wroclaw Univ Technol, Katedra Maszyn Napedow & Pomiarow Elektrycznych, Ul Smoluchowskiego 19, PL-50372 Wroclaw, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2019年 / 95卷 / 11期

关键词：

nonlinear observer; parameters adaptation; neural compensator; two-mass system; ADAPTIVE-OBSERVER; DESIGN;

D O I：

10.15199/48.2019.11.50

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The subject of analysis, described in this paper, is modified state variables observer. Algorithm contains additional element - neural network with internal weights optimized in on-line mode. The task for neural model is identification of the components (related to nonlinear phenomena in the mechanical part of the drive) used in equations of the observer. The results of tests (simulation and experimental) show effective compensation of the nonlinear elements impact.

引用

页码：208 / 214

页数：7

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