A harmonic current detection algorithm for aviation active power filter based on generalized delayed signal superposition.

This research tackles the growing problem of power‑quality loss in modern aircraft power systems, which now use variable‑frequency AC grids and non‑linear avionics loads. To keep harmonic pollution low, active power filters (APFs) need fast and very accurate detection of harmonic currents. We investigate a new harmonic‑current detection algorithm that uses generalized delayed signal superposition (GDSS). Traditional delayed‑signal cancellation methods often suffer from transient delays or sensitivity to frequency changes. In contrast, the GDSS approach is designed to pull out the fundamental and harmonic components even when the grid frequency varies, as is common in aircraft power networks. The project gives step‑by‑step guidance for modeling the GDSS algorithm in MATLAB/Simulink.

It evaluates the algorithm’s dynamic response, tracking accuracy, and robustness against grid‑frequency fluctuations. By running systematic simulations and comparing the results with conventional p‑q or d‑q theory‑based detection methods, we show that the GDSS algorithm improves the compensation performance of aviation APFs. The documentation is organized to help M.Tech students implement, test, and analyze how well the algorithm extracts harmonics, providing a solid base for further research in power electronics.

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