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Optimal nonlinear estimation for aircraft flight control in wind shear* (1994).
| Content Provider | CiteSeerX |
|---|---|
| Author | Mulgundt, Sandeep S. Stengels, Robert F. |
| Abstract | Nonlinear-inverse-dynamic control combined with optimal state estimation can increase the likelihood that an aircraff will survive an encounter with hazardous microburst wind shear. Key Words-Nonlinear systems; control system design; decoupling; inverse systems; estimation; Kaiman filters; aerospace control. A&r&--An Extended Kalman Filter (EKF) is developed to estimate the state of a jet transport aircraft. The EKF is based on the nonlinear longitudinal aircraft equations of motion, and it is designed to provide estimates of horizontal and vertical atmospheric wind inputs. The optimal state and disturbance estimates are incorporated in feedback control laws based on the aircraft’s nonlinear inverse dynamics. The EKF produces accurate estimates, and the resultant flight trajectories are very similar to those obtained with perfect state feedback. The EKF is sensitive to uncertainty in the dynamic model, but much of the lost performance can be restored by treating the uncertainty as a random disturbance input. D Q-1 |
| File Format | |
| Publisher Date | 1994-01-01 |
| Access Restriction | Open |
| Subject Keyword | Random Disturbance Input Aerospace Control Aircraft Nonlinear Inverse Dynamic Accurate Estimate Feedback Control Law Perfect State Feedback Jet Transport Aircraft Optimal State Wind Shear Disturbance Estimate Nonlinear Longitudinal Aircraft Equation Optimal State Estimation Extended Kalman Filter Lost Performance Inverse System Nonlinear-inverse-dynamic Control Key Words-nonlinear System Aircraft Flight Control Control System Design Resultant Flight Trajectory Hazardous Microburst Kaiman Filter Dynamic Model Optimal Nonlinear Estimation Vertical Atmospheric Wind Input |
| Content Type | Text |