TY - JOUR

T1 - An enhanced fast fundamental frequency estimator for three-phase electric aircraft grid

AU - Jula, Bhumaiah

AU - Jarial, Raj Kumar

AU - Verma, Anant Kumar

AU - Roncero-Sánchez, Pedro

AU - Guerrero, Joseph M.

AU - Busarello, Tiago Davi Curi

AU - Ahmed, Hafiz

PY - 2022/6/15

Y1 - 2022/6/15

N2 - This article proposes a robust and enhanced three-phase fundamental frequency estimation algorithm for the electric aircraft grid. Unlike conventional frequency-locked loops, the digital signal processing technique-based frequency estimator proposed relies on the storage of five consecutive samples of the fundamental grid voltage signal. Furthermore, the ability to successfully operate at a low sampling frequency, i.e. 8 kHz, makes it sufficiently attractive as regards reducing the memory storage in a low-cost real-time controller. The proposed frequency estimator can additionally eliminate the negative effects of the DC-offset and the fundamental negative sequence components present in the grid signal without any additional effort. Also, the tuning efforts are reduced for the frequency variation range of 350–900 Hz owing to the existence of a single tuning gain parameter. The proposed algorithm has also been found to have a fast dynamic response, which has been experimentally validated through the use of a real-time digital controller.

AB - This article proposes a robust and enhanced three-phase fundamental frequency estimation algorithm for the electric aircraft grid. Unlike conventional frequency-locked loops, the digital signal processing technique-based frequency estimator proposed relies on the storage of five consecutive samples of the fundamental grid voltage signal. Furthermore, the ability to successfully operate at a low sampling frequency, i.e. 8 kHz, makes it sufficiently attractive as regards reducing the memory storage in a low-cost real-time controller. The proposed frequency estimator can additionally eliminate the negative effects of the DC-offset and the fundamental negative sequence components present in the grid signal without any additional effort. Also, the tuning efforts are reduced for the frequency variation range of 350–900 Hz owing to the existence of a single tuning gain parameter. The proposed algorithm has also been found to have a fast dynamic response, which has been experimentally validated through the use of a real-time digital controller.

KW - Digital signal processing

KW - Electric aircraft

KW - Frequency estimation

KW - Three-phase grid voltage

U2 - https://doi.org/10.1016/j.measurement.2022.111142

DO - https://doi.org/10.1016/j.measurement.2022.111142

M3 - Article

VL - 196

JO - Measurement

JF - Measurement

SN - 0263-2241

M1 - 111142

ER -