Checking date: 08/10/2019


Course: 2019/2020

Aerospace autonomous systems
(12449)
Study: Master in Aeronautical Engineering (296)
EPI


Coordinating teacher: GARCIA-HERAS CARRETERO, JAVIER

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Students are expected to have completed
Air Navigation Systems Elements of Critical Software
Competences and skills that will be acquired and learning results.
SKILLS 1. Acquire knowledge to create the foundations for future originality in the development and application of ideas, often in a research and innovation context. 2. Acquire the capacity to integrate knowledge and face the complexity of judging given information that is incomplete and might include subjective reflexions on social responsibility and ethics. 3. Acquire the capacity to integrate the complex aerospace system and work in multidisciplinary teams. 4. Acquire the capacity to analyze and establish correction measures for the environmental impact of the developed technical solutions. 5. Acquire capacity for the analysis and resolutions of aerospace problems in new or unknown environments, within broad and complex contexts. 6. Competence in all areas related to airport, aeronautical or space technologies that, by their nature, are not exclusive to other branches of engineering. 7. Adequate knowledge of Avionics and Onboard Software, and of the Simulation and Control techniques used in air navigation. LEARNING OUTCOMES By successfully completing this course, the student should be able to: 1) Understand the technologies that apply to aerospace autonomous systems, including legislation, economical and industrial frameworks, and vehicle design. 2) Understand the mathematical foundations of some of the fundamental systems used of autonomous navigation, including the dynamics of quad-rotors, and the principles of inertial measurement units and Kalman Filters. 3) Understand how these systems can be simulated aided by computers 4) Understand how these knowledge can be incorporated into state of the art hardware. 5) Understand the different elements that compose a quad-rotors, including hardware and software, learn how to ensemble them, calibrate the vehicles, and finally fly it in an autonomous way.
Description of contents: programme
Block I: Technology that applies to autonomous vehicles Legislation Socio-economical Aspects Applications Industry Types of vehicles Design particularities Block II: Autonomous Navigation. Quadcopter dynamics IMU: accelerometers and gyroscopes Estimation: Kalman filter Block III: Quad-rotor ensambly lab. Introduction to Arducopter; IMU Integration; Quad-rotor ensambly; Controllers calibration; Flight Testing.
Learning activities and methodology
TEACHING ACTIVITES Theoretical sessions Practical sessions (exercises) Labs in computer room Hands-on labs Individual work by the student Group work TEACHING METHODOLOGY Class exposition with the aid of computers and audiovisuals, and on the blackboard. Development of concepts and analysis of the bibliographic material Critical lecture of different material: technical reports, papers, manuals. Resolution of exercises posed by the Professor. Elaboration of reports and oral communications by the student
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Donald Norris. Build Your Own Quadcopter: Power Up Your Designs with the Parallax Elev-8. McGraw-Hill/TAB Electronics. 2014
  • Kenneth Robert Britting. Inertial Navigation Systems Analysis. Artech House. 2010
  • Robert M. Rogers. Applied Mathematics in Integrated Navigation Systems. American Institute of Aeronautics and Astronautics. 2007
  • Valavanis, Kimon P., Vachtsevanos, George J. (Eds.). Hanbook of Unmanned Aerial Vehicles.. Springer. 2015
Additional Bibliography
  • Herbert Goldstein. Classical mechanics. Addison-Wesley Pub. Co. 1980
  • Kenzo Nonami Ph.D., Farid Kendoul Ph.D., Satoshi Suzuki Ph.D., Wei Wang Ph.D., Daisuke Nakazawa Ph.D. (auth.). Autonomous Flying Robots: Unmanned Aerial Vehicles and Micro Aerial Vehicles. Springer, Tokio. 2010
  • Paul Zarchan, Howard Musoff, Frank K. Lu. Fundamentals of Kalman Filtering:: A Practical Approach. AIAA (American Institute of Aeronautics & Astronautics). 2009
  • Mohinder S. Grewal, Angus P. Andrews . Kalman Filtering: Theory and Practice with MATLAB. Wiley. 2015 (4th edition)
  • Donald Norris. Build Your Own Quadcopter: Power Up Your Designs with the Parallax Elev-8. McGraw-Hill/TAB Electronics. 2014
  • Guowei Cai, Ben M. Chen, Tong Heng Lee (auth.). Unmanned Rotorcraft Systems. Springer-Verlag London. 2011
  • Michael Margolis. Arduino Cookbook. O'Reilly. 2012
  • Norris. Build Your Own Quadcopter: Power Up Your Designs with the Parallax Elev-8. Mc Grawhill. 2014
  • Reg Austin. Unmanned Aircraft Systems: UAVS Design, Development and Deployment. Wiley. 2010

The course syllabus and the academic weekly planning may change due academic events or other reasons.