Artificial Neural Network Based Real Time Speed Control of a Linear Tubular Permanent Magnet Direct Current Motor

被引：0

作者：

Guney, Ezgi ^{[1
]}

Dursun, Mahir ^{[2
]}

Demir, Memnun ^{[3
]}

机构：

[1] Sinop Univ, Vocat High Sch, Dept Elect & Energy, Sinop, Turkey

[2] Gazi Univ, Fac Technol, Dept Elect Elect Engn, Ankara, Turkey

[3] Sinop Univ, Dept Comp Technol, Gerze Voc High Sch, Sinop, Turkey

来源：

2017 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD) | 2017年

关键词：

Linear DC Motor; Artificial Neural Network Control; Real Time Learning; MACHINES; DESIGN;

D O I：

暂无

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 real-time speed control for a linear tubular permanent magnet direct current motor (LTPMDCM) by using artificial neural network (ANN). Firstly, a novel form of LTPMDCM prototype has been developed for linear motions. Then, a low cost motor drive has designed for expected rapid response and precise position control. Software developed in MATLAB environment is used for speed control. Through this software, real-time speed control of the motor with ANN has been performed. The effectiveness of the proposed control system is verified by experimental results and presented.

引用

页码：540 / 544

页数：5

共 11 条

[1] Analytical prediction of eddy-current loss in modular tubular permanent-magnet machines [J].

Amara, Y ;

Wang, JB ;

Howe, D .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2005, 20 (04) :761-770

[2] Neural network applications in power electronics and motor drives- An introduction and perspective [J].

Bose, Bimal K. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) :14-33

[3] Tubular Linear Permanent Magnet Actuator with Fractional Slots [J].

Di Stefano, Roberto ;

Marignetti, Fabrizio .

IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2012, 1 (03) :172-177

[4]

Galeotti M, 2010, POST SOV POLIT, P1, DOI 10.1109/ICELMACH.2010.5608075

[5] Active Suspension Control With Direct-Drive Tubular Linear Brushless Permanent-Magnet Motor [J].

Lee, Seungho ;

Kim, Won-jong .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2010, 18 (04) :859-870

[6]

Marignetti F, 2002, ELECTR ENG, V84, P255, DOI [10.1007/s00202-002-0127-5, 10.1007/S00202-002-0127-5]

[7]

RIEDMILLER M, 1993, 1993 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, P586, DOI 10.1109/ICNN.1993.298623

[8] Influence of soft magnetic materials on the design and performance of tubular permanent magnet machines [J].

Wang, JB ;

Howe, D .

IEEE TRANSACTIONS ON MAGNETICS, 2005, 41 (10) :4057-4059

[9] A general framework for the analysis and design of tubular linear permanent magnet machines [J].

Wang, JB ;

Jewell, GW ;

Howe, D .

IEEE TRANSACTIONS ON MAGNETICS, 1999, 35 (03) :1986-2000

[10] Neural Network Architectures and Learning Algorithms [J].

Wilamowski, Bogdan M. .

IEEE INDUSTRIAL ELECTRONICS MAGAZINE, 2009, 3 (04) :56-63

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