MATLAB simulation platform for in-queue flight optimization

 

 

In-queue flights are a new tendency in air traffic expected to increase airspace capacity and safety and reduce air traffic controllers workload. It requires that a lead aircraft flies at a given altitude and speed, and other aircrafts fly behind while maintaining target separation and adjusting their speed with that of the lead.

The seminar shall present a MATLAB/SIMULINK platform that simulates in-queue flights, analyzed as discrete-event systems. The platform has been developed and tested together with the European Association for Safety of Air Traffic – EUROCONTROL.

The platform is based on SIMULINK dynamic models that simulate the behavior of all systems of an aircraft that flies in queue under different speed, flight level, temperature and separation conditions. The adequacy of the models is based on interaction with the modeling environment GAME. It calculates kinematical characteristics of 25 types of civil aircrafts depending on exploitation conditions. MATLAB functions gather all necessary information from GAME for speed and acceleration envelopes, mass and fuel flow at pre-simulation, and the platform performs quick-time simulation.

Controlling in-queue flights requires choosing a common regime for the group so that to provide economy and control of the flight without violating safety. That is why the platform performs situational optimization of the flight regime, and also allows re-optimizations if discrete events occur. Ordering of the aircrafts is performed in descending order of minimal speed, but is allowed only if it does not violate safety.

The seminar shall focus on the dynamic models, the software basis of the platform, the decision analysis principles in the optimization procedures, and the user-friendly interface of the platform. In addition, participants shall be given possibilities to make tests of their own with the platform.

 

 

 

Short biography of lecturer:

 

Kiril Tenekedjiev is an Associated Professor at Technical University–Varna, Bulgaria, and presently a Fulbright scholar at Thomas Watson School of Engineering and Applied Science, Binghamton University. He has a PhD in Pattern Recognition and a Doctor of Sciences degree in quantitative decision analysis. He is an author of over 140 publications with total impact factor of 39.76, and total citations of 151. His research is in fuzzy rational decision analysis, utility theory, subjective statistics, econometrics, simulation, modeling, and pattern recognition. He has worked for European research institutions, and has conducted specializations and guest lecturing in the UK, Japan, Belgium, Hungary, Germany, Greece, Ukraine, and Russia. He is a member of IEEE (CIS), EADM, IFAC, SETREF, etc.