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Iterative Learning Model Predictive Control Approaches for Trajectory Based Aircraft Operation with Controlled Time of Arrival

Gaoyang Jiang* and Zhongsheng Hou
International Journal of Control, Automation, and Systems, vol. 18, no. 10, pp.2641-2649, 2020

Abstract : In this work, the iterative learning model predictive control approaches are presented to resolve the control problem of trajectory based aircraft operation with time-of-arrival constraint. Firstly, we formulated this problem as being an output tracking issue with along-track wind disturbance. Next, P-type point-to-point iterative learning control algorithms are designed to overcome the influence of repetitive along-track wind. In addition, a point-to-point iterative learning model predictive control algorithm with a variable prediction step is also designed to eliminate the interference of non-repetitive gusts on the air route. Finally, numerical simulations are provided to verify the effectiveness of the proposed method.

Download: http://link.springer.com/article/10.1007/s12555-019-0590-7

Keyword : Air traffic control, iterative learning control, model prediction control, trajectory based operation.

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