Title :
A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers
Author :
Bhattacharya, Avik ; Chakraborty, Chandan
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
Abstract :
This paper attempts to improve the dynamic performance of a shunt-type active power filter. The predictive and adaptive properties of artificial neural networks (ANNs) are used for fast estimation of the compensating current. The dynamics of the dc-link voltage is utilized in a predictive controller to generate the first estimate followed by convergence of the algorithm by an adaptive ANN (adaline) based network. Weights in adaline are tuned to minimize the total harmonic distortion of the source current. Extensive simulations and experimentations confirm the validity of the proposed scheme for all kinds of load (balanced and unbalanced) for a three-phase three-wire system.
Keywords :
active filters; adaptive control; harmonic distortion; neurocontrollers; power filters; predictive control; ANN-based predictive controllers; adaptive ANN based network; adaptive controllers; artificial neural networks; current compensation; dc-link voltage dynamic; fast estimation; shunt-type active power filter; three phase three wire system; total harmonic distortion; Active filters; Artificial neural networks; Equations; Harmonic analysis; Power harmonic filters; Prediction algorithms; Voltage control; Adaline; current control; nonlinear load; shunt active power filter (APF); total harmonic distortion (THD); voltage source inverter;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2070770
