ITUARC

CONTROLS AND AVIONICS RESEARCH GROUP

Research Focus


    Advanced flight controls and avionics technologies
    Air traffic control and air space modelling
    Unmanned air vehicles design and autonomy
    Data driven modelling and estimation
    Man-machine command and control simulations

CONTROLS AND AVIONICS RESEARCH GROUP

FOUNDERS

Prof. Dr. İbrahim Özkol


Prof. Dr. Gökhan İnalhan


Asst. Prof. Emre Koyuncu


Asst. Prof. Namık Kemal Üre


Dr. Ramazan Yeniçeri




CONTROLS AND AVIONICS RESEARCH GROUP

ONGOING PROJECTS

Resilience2050 – New design principles fostering safety, agility and resilience for ATM, FP7 EU Project

Resilience and Delay Propagation Analysis across European Flow Network, in ITU with the project partners Innaxis, DLR, NLR, UPM, Kings College and DHMI, 2013-2016. The term resilience describes the ability of a system to return to normality after perturbation. The project leans on the analysis of the resilience concepts, analyses the current system behaviour focusing on the propagation of undesired events and builds the future Air Traffic Management (ATM) concept designed to adapt to disruptions and perturbations, providing a methodology to address the resilience of the system, including a solid quantitative assessment.

COPTRA – Combining Probable Trajectories, SESAR H2020 Project

COPTRA proposes an efficient method to build probabilistic air traffic forecasts on the basis of flight trajectory predictions within a Trajectory Based Operations (TBO) environment. Its main goal is using the improvements brought to Trajectory Prediction by the future TBO environment to bring measurable improvements to Traffic Prediction in ATC Planning. Prof. Koyuncu’s team is working in COPTRA to develop trajectory uncertainty quantification and estimation methods and very large scale data-driven air transportation network models enabling effective demand and capacity balancing.

Wind Estimation and Recovery, Boeing Research and Technology funded project

Boeing research and Technology of Europe has funded Wind Estimation and Recovery project, which aims to develop advanced algorithms to reduce uncertainty in weather forecast and spatial sparse recovery. The developed infrastructure will build probabilistic wind map for a local region of interest to capture the wind estimation error and convert sparse information into complete wind map.

Air Threat Modelling, Guidance, and Control, ASELSAN funded projects

ASELSAN funded projects are focused on developing modelling and simulation environment of various aerial threats and air defense systems. Ballistic Missile Reentry Control The aim of this project is to generate 6 – DoF high fidelity models of present day and future ballistic missile threats to conduct realistic reentry and terminal phase simulations. In this sense, high fidelity aerodynamics, flight mechanics, gas dynamics, thermal analysis, ablation, and related uncertainties will be considered. The threat library for this project will include various warheads with miscellaneous configurations. Necessary guidance and control systems will be also employed.
Air Defense System Simulation GUI Development
The aim of this project is to develop a GUI to enter corresponding model, guidance, control, and simulation parameters for the previously developed ASELSAN ballistic missile threat simulations. The GUI will be suitable for both 3 – DoF and 6 – DoF models of past ASELSAN projects. The GUI will also provide necessary environment to conduct performance analysis.
GNC System Design for Guided Ammunition
Our lab provides consultancy service for GNC system design for a guided munition of ASELSAN. This service also includes development of a 6 – DoF high fidelity model for realistic simulations.

Air Combat Engagement Modelling and Simulation, TAI funded project

The project is funded under TFX Development Programme of TAI and aims to develop air combat engagement models for analysing air combat missions. In this project, an air combat simulation platform will be developed and different engagement geometries will be analysed and modelled through hybrid systems. These models will enable to simulate many engagement scenarios such as air to air (One vs One BVR / WVR ,Two vs Two BVR / WVR, Four vs Four BVR / WVR, Gun vb.), air to surface (A/S Engagement in Congested Environment, Stand-off Engagement, Penetration to A2AD vb.), surface to air (IR/RF Guided SAM and AAA Environment vb.).

Control System Design for Enabling Autonomous Agile Maneuvering Execution and Planning For Unmanned Aerial, TÜBİTAK funded project

The aim of this project, which is funded by TUBITAK 1003 – Primary Subjects R&D Funding Program, is to develop control systems that would enable agile maneuvering for fixed and rotary wing Unmanned Aerial Vehicles (UAVs) along with the development of flight envelope protection and maneuver planning algorithms. This project is conducted under the supervision of Asst. Prof. Dr. Emre Koyuncu and Asst. Prof. Dr. Nazım Kemal Üre. The first and foremost objectives of the project are to expand the autonomously executable maneuver set of the military oriented UAVs and optionally piloted aircraft systems, prevent loss of control situations induced by the execution of these agile maneuvers as and hence increase the lifespan of UAVs operating in adversarial conditions. In this context, the project’s expected outcomes are algorithms that would enable the UAV to compute agile maneuvers for defending itself from threats (such as missiles and other aerial adversaries) and counter-attacking them, tracking these reference maneuvers with high accuracy and return autonomously safe flight conditions if these agile maneuvers force the aircraft the violate the flight envelope due to high angle of attack and high translational speed. The developed algorithms will be verified with simulation studies on six degrees of freedom nonlinear UAV models for various different threat scenarios.

Search and Rescue Project with Multi UAVs System, Turkish Air Force funded project

The aim of this project is to develop an autonomous multi Unmanned Aerial Vehicle (UAV) system for search and rescue missions. The proposed method includes localization and tracking of the RF emitting target with using RF signals and image processing. Also this project has some properties such as uncertain transmitter power of RF target and localization in large scale environments. The studied topics in this projects are localization algorithms, GNC (guidance-navigation-control) and image processing algorithms.

Campus Surveillance and Security Project (KampüsİHA), İTÜ funded project

The aim of this project, which is funded by Scientific Research Projects Coordination Unit of Istanbul Technical University, is integration of Unmanned Aerial Vehicles which have live broadcast capability and some useful payloads such as flashlight and dog repellent to campus surveillance and security systems.

IHATAR – Monitoring of Agricultural Areas with UAVs, Ministry of Food, Agriculture and Livestock funded project

The aims of this project, which is funded by TARBIL, are determination of soil fertility and analysis of agricultural productivity with image processing techniques by using Unmanned Aerial Vehicles which have hyperspectral camera as a payload.

Convoy Tracking and Surveillance with UAV Systems, Turkish Air Force funded project

The aim of this project is surveillance and tracking of a convoy or a specific target continuously with an autonomous Unmanned Aerial Vehicles system. The system will have a group of UAVs, which have cameras and live broadcast capabilities. To provide continuity of tracking and surveillance, in any emergency case such as low battery or failure condition, the problematic UAV will turn back to the base station and backup UAV will take-off from the base station to join the active UAV group during the tracking and surveillance operation.