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

被引：0
|
作者：
Gaoyang Jiang
Zhongsheng Hou
机构：
[1] Beijing Jiaotong University,Advanced Control Systems Lab, School of Electronic and Information Engineering
[2] Civil Aviation University of China,College of Air Traffic Management
[3] Qingdao University,School of Automation
[4] Beijing Jiaotong University,School of Electronic and Information Engineering
来源：
International Journal of Control, Automation and Systems | 2020年 / 18卷
关键词：
Air traffic control; iterative learning control; model prediction control; trajectory based operation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this work, 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 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-topoint iterative learning model predictive control algorithm with 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.
引用
收藏
页码：2641 / 2649
页数：8
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