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In the aviation industry, microburst wind shear is considered to be a major safety threat, especially in some crucial phases of flight like takeoff and landing. Recently, the air speed sensor called 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. In order to utilize measurement data of Doppler LIDAR, we design the model predictive flight controller to avoid accidents caused by microburst wind shear in the landing configuration assuming the prior information would be obtained by Doppler LIDAR. The effectiveness 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 disturbance information are considered

Model Predictive Flight Controller Using Prior Air Disturbance Information Obtained by Doppler LIDAR