Modeling and rotor field-oriented control of a faulty three-phase induction motor based on GSA for tuning of PI controllers

被引：8

作者：

Jannati, Mohammad ^{[1
]}

Monadi, Ali ^{[1
]}

Nik Idris, Nik Rumzi ^{[1
]}

Mohd Faudzi, Ahmad Athif ^{[2
]}

Blaabjerg, Frede ^{[3
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, UTM PROTON Future Drive Lab, Johor Baharu, Malaysia

[2] Univ Teknol Malaysia, Ctr Artificial Intelligence & Robot CAIRO, Johor Baharu, Malaysia

[3] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark

来源：

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES | 2016年 / 24卷 / 04期

关键词：

Faulty three-phase induction motor; gravitational search algorithm; modeling; rotor field-oriented control; tuning of PI controllers; GENETIC ALGORITHMS; OPTIMIZATION; STATOR; MACHINES; SEARCH; STRATEGIES; COLONY; BAR;

D O I：

10.3906/elk-1312-59

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discusses the d-q model and winding function method (WFM) for modeling and a rotor field oriented control (RFOC) system for controlling a faulty three-phase induction motor (three-phase IM when one of the phases is disconnected). In the adapted scheme for controlling the faulty IM, it is necessary for the PI controller coefficients to change. For this purpose, the gravitational search algorithm (GSA) is used for tuning of PI controllers. The results show the strength and ability of the technique to improve the performance of the faulty IM control.

引用

页码：2084 / +

页数：25

共 48 条

[1]

Abbaszadeh K., 2002, SCIENTIAIRANICA, V9, P321

[2]

[Anonymous], 2003, ELECT MACHINERY

[3] A new method for early fault detection and diagnosis of broken rotor bars [J].

Aydin, Ilhan ;

Karakose, Mehmet ;

Akin, Erhan .

ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (04) :1790-1799

[4] A proof of convergence for Ant algorithms [J].

Badr, A ;

Fahmy, A .

INFORMATION SCIENCES, 2004, 160 (1-4) :267-279

[5]

Biswas A, 2007, NEURAL NETW WORLD, V17, P607

[6]

Bradley KJ, 1996, IEEE IND APPLIC SOC, P625, DOI 10.1109/IAS.1996.557101

[7] Ant system: Optimization by a colony of cooperating agents [J].

Dorigo, M ;

Maniezzo, V ;

Colorni, A .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (01) :29-41

[8] Comparison among five evolutionary-based optimization algorithms [J].

Elbeltagi, E ;

Hegazy, T ;

Grierson, D .

ADVANCED ENGINEERING INFORMATICS, 2005, 19 (01) :43-53

[9] Exchange strategies for multiple Ant Colony System [J].

Ellabib, Issmail ;

Calamai, Paul ;

Basir, Otman .

INFORMATION SCIENCES, 2007, 177 (05) :1248-1264

[10] A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors [J].

Eltabach, M ;

Charara, A ;

Zein, I .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2004, 51 (01) :107-121

← 1 2 3 4 5 →