Aeroelastic and Trajectory Control of High Altitude Long Endurance Aircraft

Abstract

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Autonomous Landing Control of Highly Flexible Aircraft Based on Lidar Preview in the Presence of Wind Turbulence

“…which will be used for the control synthesis below. As mentioned earlier, an aeroelastic and trajectory control system was designed in our paper [17] for this model to achieve efficient trajectory tracking in the presence of turbulence. We now extend the control system to achieve autonomous landing and include Lidar preview wind measurements (obtained in Section III) in the inner loop to benefit the landing scenario, as illustrated in Fig.…”

“…7, the outer loop is designed to generate attitude angle command for the inner loop. Here, we use the outer-loop controllers that we developed in [17]. For easy reference, we give a brief introduction.…”

“…Moreover, highly flexible aircraft are much more sensitive to atmospheric disturbances, therefore active aeroelastic control is typically required for gust load alleviation 1 P. Qi r.palacios@imperial.ac.uk and disturbance rejection [11][12][13][14]. Some works on trajectory control of such aircraft [15][16][17] have also been undertaken recently, while some key challenging scenarios, such as autonomous landing control, have rarely been investigated.…”

“…As mentioned earlier, we aim to investigate the autonomous landing control based on Lidar preview for the large highly flexible flying wing developed in [4]. Its aeroelastic and trajectory control (without preview) was studied in [17], which used a two-loop control structure in each of the longitudinal and lateral channels to realize efficient trajectory tracking. The outer loop employed the PI/LADRC (linear active disturbance rejection control) algorithms to track the desired trajectory and generate attitude angle command to the inner loop, based on which the inner loop used H ∞ control technique to compute the control inputs to the corresponding control actuators.…”

“…The outer loop employed the PI/LADRC (linear active disturbance rejection control) algorithms to track the desired trajectory and generate attitude angle command to the inner loop, based on which the inner loop used H ∞ control technique to compute the control inputs to the corresponding control actuators. To achieve preview-based landing control, in the present paper we extend the inner-loop H ∞ control structure in [17] by introducing Lidar preview wind measurements to the controller as prior information. We design a Lidar simulator to measure the incoming wind disturbances in the wind field, and then augment the plant model with the preview measurements through a discrete-time delay chain.…”