Automatic Generation Fuzzy Neural Network Speed Controller for Permanent-Magnet Synchronous Motor Drive

被引：0

作者：

Guo Zhi-rong ^{[1
,2
]}

Gao Wei ^{[2
]}

Xie Shun-yi ^{[1
]}

机构：

[1] Naval Univ Engn, Dept Weaponry Engn, Wuhan, Peoples R China

[2] Naval Bengbu Petty Officer Acad, Dept Weaponry Engn, Bengbu, Peoples R China

来源：

ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年

关键词：

fuzzy neural network; automatic generation; synchronous motor; particle swarm optimization; SYSTEMS;

D O I：

10.1109/ICICTA.2009.395

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents an Automatic Generation Fuzzy Neural Network (AGFNN) with improved particle swarm optimization controller suitable for real-time control of the speed control of the permanent magnet synchronous motor (PMSM) to track sinusoidal reference inputs. The parameters learning are done automatic and online, which is based on the supervised gradient decent method using a delta law. Moreover, an improved particle swarm optimization (IPSO) is adopted to adapt the learning rates to improve the learning capability and increase the speed of constringency. The control performance of the proposed method is verified by simulated results.

引用

页码：664 / +

页数：2

共 10 条

[1] Control of a mobile robot using generalized dynamic fuzzy neural networks
Er, MJ
Tan, TP
Loh, SY
[J]. MICROPROCESSORS AND MICROSYSTEMS, 2004, 28 (09) : 491 - 498
[2] A particle swarm optimization approach for optimum design of PID controller in AVR system
Gaing, ZL
[J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (02) : 384 - 391
[3] ON FUZZY MODELING USING FUZZY NEURAL NETWORKS WITH THE BACKPROPAGATION ALGORITHM
HORIKAWA, S
FURUHASHI, T
UCHIKAWA, Y
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05): : 801 - 806
[4] DIAGONAL RECURRENT NEURAL NETWORKS FOR DYNAMIC-SYSTEMS CONTROL
KU, CC
LEE, KY
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (01): : 144 - 156
[5] Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
Lin, FJ
Lin, CH
Shen, PH
[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2001, 9 (05) : 751 - 759
[6] Comparison of sliding-mode and fuzzy neural network control for motor-toggle servomechanism
Lin, FJ
Fung, RF
Wai, RJ
[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 1998, 3 (04) : 302 - 318
[7] A supervisory fuzzy neural network control system for tracking periodic inputs
Lin, FJ
Hwang, WJ
Wai, RJ
[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (01) : 41 - 52
[8] Locating and tracking multiple dynamic optima by a particle swarm model using speciation
Parrott, Daniel
Li, Xiaodong
[J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (04) : 440 - 458
[9] Structure identification in complete rule-based fuzzy systems
Pomares, H
Rojas, I
González, J
Prieto, A
[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2002, 10 (03) : 349 - 359
[10] RADWAN TS, 2005, PEDS 2005, V1, P602

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