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 - 10.1016/j.measurement.2022.111142
DO - 10.1016/j.measurement.2022.111142
M3 - Article
SN - 0263-2241
VL - 196
JO - Measurement
JF - Measurement
M1 - 111142
ER -