Development of Control Equivalent Gust Input (CEGI) and Rotor Control Equivalent Gust Input (RCEGI) Models

This study aims to develop Control Equivalent Gust Input (CEGI) and Rotor Control Equivalent Gust Input (RCEGI) profiles that accurately reproduce vehicle response to deterministic gusts. This involves creating an inverse model using adaptive neural networks in order to map vehicle response to pilot and rotor control inputs. The accuracy of the CEGI and RCEGI models are then quantified using the Time Domain Integrated Cost Function (Ref. 1) to determine trends within the CEGI and RCEGI models for gusts of varying shape, magnitude, and duration as well as at varying flight conditions. Analysis using the cost function shows that the CEGI and RCEGI models follow similar trends. Both models are more accurate for gusts of short duration and small amplitude, and both models are more accurate for sinusoidal gusts than top hat gusts.