In-flight aircraft center of gravity (COG) position estimation is investigated in this study based on the kinematics approach. The Quad-M basics of system identification requirements are carefully investigated for time-invariant and time-varying COG estimation during airdrop maneuver as a case study that contains both conditions. Modeling and simulation of airdrop maneuver are employed to prepare the required maneuver and measurement data for this investigation. The relative-acceleration equation, as a model structure, and parameter modeling of time-varying COG location and acceleration are introduced into the system identification and parameter estimation framework. The Kalman filter method is applied to investigate the estimation of aircraft COG location. Monte Carlo simulations are performed to assess the performance of the algorithm in the presence of measurement errors and model uncertainties. As a conclusion, the aircraft COG position based on the kinematics approach, and independent of kinetics, is conditionally identifiable that could be an applicable technology for the use in adaptive flight control as well as Health and Usage Monitoring Systems.
In-Flight Estimation of Time-Varying Aircraft Center of Gravity Position Based on Kinematics Approach
Journal of Aircraft ; 55 , 5 ; 2037-2049
2018-06-13
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
GRAVITY CENTER POSITION ESTIMATION METHOD FOR VEHICLE
Europäisches Patentamt | 2022
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