Open AccessCombined RBFN based MPPT and d-axis stator current control for permanent magnet synchronous generators
Author(s) -
Tuấn Ngọc Nguyễn,
Duc-Hung Pham,
Luu Hoang Minh,
Nguyen Huu Chan Thanh
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i4.pp2459-2469
Subject(s) - stator , control theory (sociology) , permanent magnet synchronous generator , maximum power point tracking , controller (irrigation) , computer science , maximum power principle , turbine , flux linkage , wind power , radial basis function network , magnet , artificial neural network , power (physics) , radial basis function , engineering , physics , direct torque control , inverter , electrical engineering , voltage , control (management) , induction motor , artificial intelligence , mechanical engineering , agronomy , biology , quantum mechanics
This paper proposes a new radial basis function neural network maximum power point tracking controller based on a differential evolution algorithm for machine side converter of permanent magnet synchronous generator wind turbine under variable wind speed. Direct axis stator current control methods of permanent magnet synchronous machine are reviewed shortly. A combined radial basis function neural network-based network maximum power point tracking method and d axis stator current control techniques including zero d axis stator current, unity power factor, and constant stator flux-linkage have been implemented to control the machine side converter of permanent magnet synchronous generator wind turbine. The dynamic performance of the proposed approach is assessed under different operating conditions through a simulation model based on MATLAB. It has been seen that the radial basis function neural network controller can not only track well the maximum power point but also can be reduced costly.