Title :
Intelligent controlled-wind-turbine emulator and induction-generator system using RBFN
Author :
Lin, F.-J. ; Teng, L.-T. ; Shieh, P.-H. ; Li, Y.-F.
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Taiwan
fDate :
7/1/2006 12:00:00 AM
Abstract :
A radial basis-function network (RBFN) is proposed for the intelligent control of a wind-turbine emulator and an induction-generator (IG) system with an AC/DC power converter. First, the indirect field-oriented mechanism is designed for the control of the IG system. Since the IG system is a nonlinear and time-varying dynamic system, an on-line trained RBFN is developed for the tracking controller of DC-link power to improve the control performance. The rotor speed of the IG, the DC-link voltage and current of the power converter are detected simultaneously to yield maximum power output of the converter through DC-link power control. Then, a closed-loop wind-turbine emulator, also using the RBFN, is designed to produce the maximum power for the IG system at various wind speeds to confront the parameter dependency of the wind-turbine emulator. Further, some experimental results are provided to show the effectiveness of the proposed wind-turbine emulator and IG system using the RBFN controller. Finally, the control performance of the DC-link voltage control using the RBFN is also discussed
Keywords :
AC-DC power convertors; asynchronous generators; intelligent control; machine vector control; nonlinear dynamical systems; power control; power engineering computing; radial basis function networks; rotors; time-varying systems; voltage control; wind turbines; AC-DC power converter; DC-link power control; DC-link voltage control; closed-loop wind-turbine emulator; indirect field-oriented control; induction-generator system; intelligent control; nonlinear dynamic system; on-line trained RBFN; radial basis-function network; rotor speed; time-varying dynamic system; tracking controller;
Journal_Title :
Electric Power Applications, IEE Proceedings -
