Recurrent Functional-Link-Based Fuzzy-Neural-Network-Controlled Induction-Generator System Using Improved Particle Swarm Optimization

A recurrent functional-link (FL)-based fuzzy-neural-network (FNN) controller with improved particle swarm optimization (IPSO) is proposed in this paper to control a three-phase induction-generator (IG) system for stand-alone power application. First, an indirect field-oriented mechanism is implemented for the control of the IG. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable voltage to constant frequency and constant voltage, respectively. Moreover, two online-trained recurrent FL-based FNNs are introduced as the regulating controllers for both the DC-link voltage of the AC/DC power converter and the AC line voltage of the DC/AC power inverter. Furthermore, IPSO is adopted to adjust the learning rates to improve the online learning capability of the recurrent FL-based FNNs. Finally, some experimental results are provided to demonstrate the effectiveness of the proposed recurrent FL-based FNN-controlled IG system.

[1]  F. Blaabjerg,et al.  Flexible control of small wind turbines with grid failure detection operating in stand-alone and grid-connected mode , 2004, IEEE Transactions on Power Electronics.

[2]  Faa-Jeng Lin,et al.  Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control System , 2006, IEEE Transactions on Industrial Electronics.

[3]  T. Boutot,et al.  Development of a novel wind turbine simulator for wind energy conversion systems using an inverter-controlled induction motor , 2004, IEEE Transactions on Energy Conversion.

[4]  Y. Rahmat-Samii,et al.  Particle swarm optimization in electromagnetics , 2004, IEEE Transactions on Antennas and Propagation.

[5]  Faa-Jeng Lin,et al.  TSK-type recurrent fuzzy network for dsp-based permanent-magnet linear synchronous motor servo drive , 2006 .

[6]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[7]  Adel M. Sharaf,et al.  A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme , 1993 .

[8]  Bhaskar D. Rao,et al.  On-line learning algorithms for locally recurrent neural networks , 1999, IEEE Trans. Neural Networks.

[9]  Chin-Teng Lin,et al.  A Functional-Link-Based Fuzzy Neural Network for Temperature Control , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

[10]  Vivek Agarwal,et al.  Simple control for a wind-driven induction generator , 2001 .

[11]  Zwe-Lee Gaing.  A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004, IEEE Transactions on Energy Conversion.

[12]  C. F. Christiansen,et al.  Dynamical sliding mode power control of wind driven induction generators , 2000 .

[13]  Jagdish C. Patra,et al.  A functional link artificial neural network for adaptive channel equalization , 1995, Signal Process..

[14]  Leopoldo García Franquelo,et al.  Modeling Strategy for Back-to-Back Three-Level Converters Applied to High-Power Wind Turbines , 2006, IEEE Transactions on Industrial Electronics.

[15]  Alex ChiChung Kot,et al.  Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[16]  Kil To Chong,et al.  Induction Machine Condition Monitoring Using Neural Network Modeling , 2007, IEEE Transactions on Industrial Electronics.

[17]  Ching-Chih Tsai,et al.  Adaptive Predictive Control With Recurrent Neural Network for Industrial Processes: An Application to Temperature Control of a Variable-Frequency Oil-Cooling Machine , 2008, IEEE Transactions on Industrial Electronics.

[18]  Xavier Roboam,et al.  Architecture Complexity and Energy Efficiency of Small Wind Turbines , 2007, IEEE Transactions on Industrial Electronics.

[19]  Yaow-Ming Chen,et al.  Multi-Input Inverter for Grid-Connected Hybrid PV/Wind Power System , 2007, IEEE Transactions on Power Electronics.

[20]  O. Ojo,et al.  PWM-VSI inverter assisted stand-alone dual stator winding induction generator , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[21]  David L. Elliott,et al.  Neural Systems for Control , 1997 .

[22]  Faa-Jeng Lin,et al.  Intelligent controlled-wind-turbine emulator and induction-generator system using RBFN , 2006 .

[23]  Kiyotaka Izumi,et al.  A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems , 2005, IEEE Transactions on Industrial Electronics.

[24]  A. Selvakumar,et al.  A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems , 2007, IEEE Transactions on Power Systems.

[25]  Faa-Jeng Lin,et al.  Hybrid controller using a neural network for a PM synchronous servo-motor drive , 1998 .

[26]  José A. Macías,et al.  Evolution of functional link networks , 2001, IEEE Trans. Evol. Comput..

[27]  J.K. Chatterjee,et al.  Analysis of Operation of a Self-Excited Induction Generator With Generalized Impedance Controller , 2007, IEEE Transactions on Energy Conversion.

[28]  Wei-Yun Yau,et al.  Fingerprint and speaker verification decisions fusion using a functional link network , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[29]  Enes Gonçalves Marra,et al.  Induction-generator-based system providing regulated voltage with constant frequency , 2000, IEEE Trans. Ind. Electron..