Kutatás-fejlesztés a közlekedési programok területén

1. Kutatás-fejlesztés a közlekedési programok területén Prof. Bokor József MTA SZTAKI - BME

2. Research trends and perspectives in the area of Road vehicle and road traffic systems Air vehicle and air traffic systems Interactions in research for future automatic systems will be highlighted

3. Overview of aircraft and air traffic control systems Research projects in SZTAKI and BME on Flight and Road Traffic Systems Interactions with road vehicle control systems Future trends Content

4. Between 2000 and 2007 the total number of vehicles was increased by 35-40%. In the next two decades the air traffic will be doubled. This implies an expected demand of approximately 24000 aircrafts. Aircraft and Air Traffic Control Systems

5. Aircraft and Air Traffic Control Systems • What existing or new tasks should be automated an why? • What additional performance requirements will arise? • How to incorporate the emerging C3 (Computing, Communication and Control) technology (in addition to research for better air frame, engine, new materials) • Cost effectiveness and environmental protection requirements will be strenghten

6. Aircraft and Air Traffic Control Systems Three loops of control and automation: • 1. Fly by Wire system: • Fly-by-wire control system (implemented on board computers) are to operate the control surfaces and engines to ensure that: • The aircraft is simultanously robustly stable and manoveuvrable against change in Cg, speed, configuration. Extends the stability domain! • Good command following (e.g: for stick) • Protects the aircraft to stay in a safe flight envelope (keeps constraints on pitch, roll, bank angle, high speed, high g level) • Fault detection and reconfiguration, control under loss of effectiveness in control surfaces.

7. Aircraft and Air Traffic Control Systems • 2. Guidance and autopilot control loop • Trajectory tracking • Command following: vertical speed, flight path angle, speed. Ex.: Autopilot, Autothrust systems • This is a hybrid control system: • Discrete states are the guidance modes: fly a given heading (HDG mode), Altitude Hold (ALT mode). • Continuous state variables of the flying aircrafts • Need for theory and application of switching nonlinear (LPV) systems!

8. Aircraft and Air Traffic Control Systems 3. Navigation loop: Guidance of the aircraft along a flight plan or flying a mission. In traditional commertial aircrafts the role of pilots is dominating with collaboration with Air Traffic Management (ATM) systems.

9. Aircraft and Air Traffic Control Systems • 4. New loop: Flight Management System (FMS) • FMS sends the waypoint data to the autopilot • Autopilot guides the aircraft along the feasible active flight path leg operatingunder „optimum” conditions. • Pilot selects the appropriate guidance mode.

10. The four control loops of airtraffic control systems

11. Aircraft and Air Traffic Control Systems • UAV control systems fully automate the 4 loops and: • Automate mission flying and formation flying. • Use Software Enabled Control technology to extend flight capabilities beyond human controlled systems. • Strong interaction with research trends in automated • road • underwater • vehicle control systems.

12. Intelligent Vehicle Model Laboratory Head:Soumelidis Alexandros, PhD Autonomous vehicle (UAV,URV) models: aircrafts, helicopters, cars Model experiments: individual and cooperative control

13. UAV lab Systems and Control Laboratory joined to „UAV lab” initiated by the Department ofAerospace Engineering and Mechanics of the University of Minnesota Members: University of Minnesota (Prof. Gary Balas) University of Sannio, Benevento, Italy (Prof. Francesco Borrelli) Computer and Automation Research Institute (Prof. Jozsef Bokor) Budapest University of Technology and Economics (Prof. J. Bolor)

14. UAV lab Objectives: The UAV research group is actively involved in expanding the capabilities of UAV systems for today and tomorrow. Current research focuses on development of navigation, guidance and control strategies for autonomous flight in enclosed indoor environments. The focus of research is not only to address issues from technological standpoint, but also ensure the system is built mostly out of commercial of the shelf(COTS) components to maximize cost benefits, share the know-how of design and development of hardware and software with researchers across the world with open source philosophy.

15. UAV lab Common activities: Building the same experimental UAV platform at the site of every member with the purpose to perform common measurements, data acquisition tasks, system identification, and control experiments.

16. UAV lab • Brushless DC motor drive • Lithium Polymer battery • Throttle, rudder, elevator, and aileron control • Manual/automated mode of operation • Inertial sensors: MEMS accelerometers and gyros, magnetometer, barometric altitude sensor, Pitot-tube pressure based velocity sensor, GPS • Freescale MCP555 32-bit board computer • Wireless digital communication with a Ground Station The Unmanned Aerial Vehicle: A radio-controlled model-plane equipped with a high performanceon-board computer and sensors.

17. UAV lab Guidance and Autopilot Loops • Waypoint Guidance (lateral–directional control) • Altitude hold • IAS (Indicated AirSpeed) hold • Extended Kalman Filter for estimating states • Data acquisition – sensor and estimated data Navigation and Flight Control • On-board control – waypoint guidance • Trajectory (waypoint) planning, altitude, IAS setpoint control on the Ground Station • Takeoff/landing, emergency operations: manual control

18. UAV lab Recent tasks: • System identification based upon test-flight data • Building accurate control oriented mathematical model • Designing controllers for several flight situations • Implementing controllers on the board computer • Validation & verification of the controllers in real flight conditions • Considering safety and reliability conditions

19. The Quadrotor Helicopter concept • 4 rotors in X-shaped layout • 2 pairs counter-rotating • Yaw, pitch, roll, and thrust control

20. Building a Quadrotor Helicopter • Embedded, network-based distributed control • Multiple microcomputers interconnected CAN • Nonlinear model-based control

21. Measurement and identification • Static and dynamic characteristics of a rotor and drive assembly • Thrust and reaction torque measurements • A microcontroller-based measurement device

22. Quadrotor control • Realization: an embedded one-board microcomputer based on Freescale MPC555 processor. • 32-bit floating-point processor, Power PC architecture, with embedded CAN interface. • Ideal for complex feedback control applications. • Algorithmic design, realization, and simulation testing in Matlab/Simulink system of Mathworks. • Direct code development within Matlab/Simulink through the RealTime Workshop and the Embedded Target for MPC555. • Communication with the a ground-station by a wireless digital link. • On-board sensor unit: MEMS inertial sensors. • Indoor positioning system: ultrasound and/or camera based.

23. Indoor positioning: RF&US Ultrasound transmitter On-board ultrasound receiver • Ultrasound-based positioning • RF-based synchronization

24. Indoor positioning: camera vision • Illuminated color markers (LEDs) on-board • Image processing • Multicamera positioning

25. URV:model-car test platform • Cooperative control experiments based on a group of vehicles • Wireless digital ad-hoc network • Formation control • Emulation of a crossing

26. Future Goals in UAV and URV UAV: • Cooperative control of multiple UAVs, formation control • Reconfigurable / fault tolerant control • Environment sensing, navigation based upon sensor fusion – inertial, image, etc. sensors URV: • Modeling complex situations requiring cooperation • High-fidelity formation and traffic simulations 1:5 independent 4-wheel electric car: • Integrated electronic control • Distributed control based upon FlexRay network

27. Future developments: • Automated taxing (Messier-Bugatti-BME and partners) • Automatic take-off, landing • Collision avoidance in air or ground • Increase of situational awarness by better representation of aircraft states and other enviroment like: • - inrfared or millimetre radar sensors • - use of terrain and obstacle data base • Mission and formation flying (automated) • Role of pilots: - control and monitor of the automated systems • - decision making in major failure as unpredicted dangerous situations

28. Distributed and Redundant Electro mechanical nose gear Steering System FP6 project led by Messier-Bugatti • Improving steering system safety, availability and competitiveness • Towards More Electric Aircraft www.dress-project.eu

29. Robust LPV Gain Scheduling Techniques for Space Applications ESA ITT: A0/1-4781/05/NL/JA

30. Thank You for Your Attention !