PROJECT TITLE :

A Robust LQG Servo Control Strategy of Shunt-Active Power Filter for Power Quality Enhancement

ABSTRACT:

This paper proposes a linear quadratic Gaussian (LQG) servo controller for the current control of shunt-active power filter (SAPF) operating under balanced and unbalanced provide voltages. This LQG controller is comprised of a LQ regulator and a Kalman filter (KF) that minimizes the error between the output currents and their variations. A feedback compensator is employed in LQG servo controller that advantages an SAPF system by increasing tracking error reduction, gain stability, reducing amplitude distortion and sensitivity to external disturbances. A KF-primarily based new reference current generation theme is developed here to resolve the difficulty of tuning gains of a proportional integral controller and for avoiding the employment of voltage sensors creating it cost effective. Consequently, this reference theme has self-capability of dc-link voltage regulation by adaptively estimating the peak price of source reference current with changing load conditions. The control algorithm is embedded in SAPF using a MATLAB/Simulink software atmosphere. The effectiveness of the proposed LQG ServoKF algorithm is evaluated through comparison with an existing $rm LQR_rm KF$ algorithm and then validated with experimental studies pursued employing a dSPACE1104 computing platform. From the obtained experimental and simulation results, it's observed that the proposed control strategy exhibits superior performance in terms of robustness improvement and current harmonics mitigation under steady-state and dynamic load conditions, therefore making it a lot of effective for practical applications.