Abstract
In the aviation industry, microburst wind shear is considered to be a major safety threat, especially in some crucial phases of flight like take-off and landing. Recently, the air speed sensor called airborne Doppler LIDAR (Light Detection and Ranging) which measures the speed of air disturbance even Clear Air Turbulences (CAT) in front of the aircraft is developed. Therefore we design the model predictive flight controller to avoid accidents caused by microburst in the landing configuration assuming the prior turbulence information would be obtained by the LIDAR. To assess the tracking performance of the proposed controller, numerical simulations are carried out, in which the plant uncertainties in the aircraft states and the measurement errors in the prior turbulence information are considered. In addition, the calculation time for the optimization process in model predictive control is examined to confirm that our controller could be utilized in the on-line system.
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