Model Predictive Control of Flight Arrival Interval

摘要：

　　In order to achieve the automation of Air Traffic Control (ATC),use system to identify the controlled model of flights arrival process which has been already built,using Model Predictive Control (MPC) of the dynamic matrix control (DMC) to control the ATC process.According to DMC algorithm and the features of ATC,the design parameters of this system can be determined by a lot of simulations.It proves that the system design and parameters selection make the system has the required performance and the robustness even if the parameters be changed in a wide range.The experiment on the ATC Simulation System proves that the MPC method is available,conclusion of the study provides a new idea and method for the engineering implementation of the automation of flights arrival process control and some improvement of airspace utilization.

关键词： Model Predictive Control Robustness Minimum Variance Control

作者: Dapeng Yang Pingbo Sun Keqiang Hua

作者单位: Basic Experiment Center,Civil Aviation University of China,Tianjin 300300 Aeronautical Automation College,Civil Aviation University of China,Tianjin 300300 Engineering and Technology Training Center,Civil Aviation University of China,Tianjin 300300.

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1375-1380

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）