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Two Body Approach to the Aircraft Mass Properties Estimation During Airdrop Maneuver
Dehghan Manshadi, Ali | 2018
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- Type of Document: Ph.D. Dissertation
- Language: Farsi
- Document No: 51875 (45)
- University: Sharif University of Technology
- Department: Aerospace Engineering
- Advisor(s): Saghafi, Fariborz
- Abstract:
- The importance of aircraft mass properties, including mass, center of gravity position and moments of inertia, and the effect of these parameters on the aircraft performance, stability and control is clearly bright for aviation science specialists. The ability to in-flight estimation of the aircraft mass properties in all flight conditions is a powerful technology for improving conditioned based maintenance systems, automatic flight control systems, flight safety, airplane performance, flight path planning, air traffic management, cooperative and formation flight management, facilitating investigation of aerial accidents caused by uncertainty of the mass properties, and increasing flexibility of air vehicles design. In this study, the ability to use Kinematics and Kinetics models structure for estimating time-varying mass properties, by modeling and simulation of the airdrop maneuver with the approach of the two-body dynamic as well as modeling of an all-accelerometer IMU with regard the measurement errors model has been investigated. In the first approach, the model structure, independent of air vehicle and using the time-varying parameter modeling technique, is presented in the form of the well-known ARX model and aircraft center of gravity displacement using the kalman filter is estimated. In the second approach, the estimation of changes in the aircraft mass properties during the airdrop maneuver, in two phases of load transfer and release, has been investigated using the nonlinear filtering technique. Monte Carlo simulations are performed to assess the performance of the algorithms in the presence of measurement errors and model uncertainties
- Keywords:
- Aircraft Mass Properties ; Airdrop Maneuver ; In-Flight Estimation ; Stochastic Load Pattern ; Kinetics Model Structure ; Kinematics Model Structure ; Nonlinear Filtering ; Linear Filtering
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