Title :
A fixed switching frequency adaptive sliding mode controller for shunt active power filter system
Author :
Mohapatra, S.R. ; Ray, P.K.
Author_Institution :
Nat. Inst. of Technol. Rourkela, Rourkela, India
Abstract :
The theory, design and simulation of a fixed frequency pulse width modulation (PWM) based adaptive sliding mode current control for single phase shunt active power filter (APF) to improve power quality is presented in this article. Artificial neural network (ANN) based modified control strategy is being used to control the DC capacitor voltage as well as to generate reference source current. The application of ANN enhances the convergence rate of APF and also makes it adaptive under variable load conditions. The instantaneous phase of the source voltage is extracted by a phase locked loop (PLL). The same phase is used by ANN for calculating the reference source current. That is why the proposed APF is applicable under both nominal and distorted voltage source. The complete non-linear system is analyzed and simulated using MATLAB/Simulink software. Simulation results are presented to validate the theory.
Keywords :
control engineering computing; neurocontrollers; nonlinear control systems; phase locked loops; power engineering computing; power filters; power system control; pulse width modulation; variable structure systems; voltage control; ANN; APF; DC capacitor voltage control; MATLAB; PLL; PWM; Simulink; adaptive sliding mode controller; artificial neural network; fixed frequency pulse width modulation; nonlinear system; phase locked loop; shunt active power filter system; source voltage phase extraction; Active filters; Decision support systems; Active Power Filter; Artificial Neural Network; Constant Frequency; Harmonics; Power Quality; Sliding mode control;
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
Print_ISBN :
978-1-4799-4076-9
DOI :
10.1109/TENCON.2014.7022318