Adaptive neural controller based on RBF model applied for electrical drive with PMSM motor

被引：5

作者：

Kaminski, Marcin ^{[1
]}

Najdek, Karol ^{[1
]}

机构：

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

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2018年 / 94卷 / 06期

关键词：

neural controller; radial basis function network; speed control; electric drive;

D O I：

10.15199/48.2018.06.18

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：

This article presents speed control structure of electrical drive with PMSM motor.First part of project is related to hardware construction of real drive.Important assumption was cost reduction of experimental platform.For this purpose the control algorithm was implemented in low-cost programmable device (ARM processor).Next stage of work was focused on design and analysis of adaptive speed controller, this part of control structure was based on Radial Basis Function neural network.Additionally, metaheuristic BAT algorithm was applied for optimization of selected elements of neural controller.

引用

页码：94 / 98

页数：5

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