Simple Filtering Algorithms for the Needs of Measuring UAV Parameters

Abstract

The paper deals with the design and implementation of filtering algorithms for the measurement system of unmanned aerial vehicles (VAV) parameters. This filtration is necessary for a more accurate future conversion of motor thrust ratios to position angles. The author deals with the use of exponential moving average (EMA), double exponential moving average (DEMA) and triple exponential moving average (TEMA) filters in combination with a moving window median (MWM) filter. The work compares the original measured signal and the signal after filtration by the individual designed filters. The paper also deals with the comparison of the efficiency of individual filters by changing the time constant of exponential filters.