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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Rao, Edara Venkata Chandra Sekhara
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Control & Systems Engineering Electrical & Electronics Engineering

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Least mean square based adaptive control of active power filter Chander, Ramavath; Rao, Edara Venkata Chandra Sekhara; Vidyasagar, Erukula
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp1072-1080

Abstract

The proposed control scheme is based on the least mean square (LMS) algorithm. The LMS algorithm is employed to estimate the necessary reference tracking current for the active power filter (APF). The proposed control scheme aims to enhance the dynamic response of the APF and minimize steady-state error. The weights of the LMS technique are calculated based on the estimated current of the APF. This algorithm is employed to minimize the error difference between the desired system output and its actual output, known as the mean square error (MSE). The estimated weights are utilized to modify the reference current weights, enabling them to follow the intended current of the APF. The online adaption of the LMS method involves the real-time adjustment of the weights. The performance of the LMS-based APF control is evaluated through a simulation study in MATLAB/Simulink, where it is compared with the conventional control method.
Co-Authors Chander, Ramavath Vidyasagar, Erukula