A quadrotor sensor platform

Abstract : The Global Positioning System (GPS) has become the de facto standard for precision navigation for many applications. However, the line-of-sight signals required by the GPS receiver are not always accessible in a cluttered environment, such as mountainous terrain or an urban setting. In addition, the satellite signals operate at a low power level making GPS susceptible to interference and jamming. Scenarios such as these require an alternate means of providing high level accuracy. To that end, the Avionics Engineering Center (AEC) at Ohio University (OU) has begun to investigate the ability of a scanning laser range finder, or LADAR, to augment GPS. One scenario under consideration is that of a small unmanned aerial vehicle (UAV) which has been navigating using GPS but then descends into a city for the next phase of its mission. Inside this "urban canyon," access to the GPS satellite signals is blocked by towering buildings and an alternate means of navigation is required to maintain precise positioning. A tactical grade inertial navigation system (INS) would satisfy the requirement, but the cost is prohibitive for an unmanned system. Instead, a line scanning LADAR updates the vehicle's position and attitude using range data collected from planar surfaces. The quadrotor sensor platform is especially well suited for the scanning LADAR since the vehicle itself can be used to "gimbal" the sensor. In other words, small rolling and pitching motions, either commanded or incidental, will generate multiple LADAR line scans across each flat surface. A minimum of three separate scans is required for each planar surface to obtain a three-dimensional solution, but multiple scans are not possible without some means of gimbaling the LADAR.

[1]  Xiaoji Niu,et al.  Analysis and Modeling of Inertial Sensors Using Allan Variance , 2008, IEEE Transactions on Instrumentation and Measurement.

[2]  Charles R. Sullivan,et al.  Accurate prediction of ferrite core loss with nonsinusoidal waveforms using only Steinmetz parameters , 2002, 2002 IEEE Workshop on Computers in Power Electronics, 2002. Proceedings..

[3]  Roland Siegwart,et al.  Towards Intelligent Miniature Flying Robots , 2005, FSR.

[4]  M R Gavin Introduction to Electromagnetic Fields and Waves , 1963 .

[5]  Ray Andraka,et al.  A survey of CORDIC algorithms for FPGA based computers , 1998, FPGA '98.

[6]  Fang Deng An improved iron loss estimation for permanent magnet brushless machines , 1997 .

[7]  Robert Mahony,et al.  Towards dynamically favourable Quad-Rotor aerial robots , 2004 .

[8]  John Weston,et al.  Strapdown Inertial Navigation Technology, Second Edition , 2005 .

[9]  V. Moreau,et al.  Dynamic modeling and intuitive control strategy for an "X4-flyer" , 2005, 2005 International Conference on Control and Automation.

[10]  Young Soo Suh Robust control of a quad-rotor aerial vehicle , 2003 .

[11]  Kenneth R Britting,et al.  Inertial navigation systems analysis , 1971 .

[12]  Steven L. Waslander,et al.  The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC) , 2004, The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576).

[13]  Paul Y. Oh,et al.  Autonomous hovering of a fixed-wing micro air vehicle , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[14]  Eric N. Johnson,et al.  A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles , 2006, J. Aerosp. Comput. Inf. Commun..

[15]  Darryll J. Pines,et al.  Characterization of Ring Laser Gyro Performance Using the Allan Variance Method , 1997 .

[16]  Nicolas Petit,et al.  Using magnetic disturbances to improve IMU-based position estimation , 2007, 2007 European Control Conference (ECC).

[17]  John Weston,et al.  Basic principles of strapdown inertial navigation systems , 2004 .

[18]  John H. Blakelock,et al.  Automatic control of aircraft and missiles , 1965 .

[19]  J. Gordon Leishman,et al.  Principles of Helicopter Aerodynamics , 2000 .

[20]  E. H. Werninck Electric motor handbook , 1978 .

[21]  E. Spooner,et al.  Vernier hybrid machines , 2003 .

[22]  P. D. Roberts,et al.  Linear Control System Analysis and Design , 1982 .

[23]  P. Zingaretti,et al.  Safe flying for an UAV helicopter , 2007, 2007 Mediterranean Conference on Control & Automation.

[24]  Charles Gablehouse Helicopters and autogiros , 1968 .

[25]  Torsten Stülpnagel Motor with external rotor , 2003 .

[26]  Robert Mahony,et al.  Design of a four-rotor aerial robot , 2002 .

[27]  Roland Siegwart,et al.  PID vs LQ control techniques applied to an indoor micro quadrotor , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[28]  T.J.E. Miller,et al.  On the variation with flux and frequency of the core loss coefficients in electrical machines , 2006, IEEE Transactions on Industry Applications.

[29]  R. Fierro,et al.  Decentralized cooperative control - A multivehicle platform for research in networked embedded systems , 2007, IEEE Control Systems.

[30]  C. Taylor,et al.  Vision-based pose estimation and control of a model helicopter , 2004, Proceedings of the IEEE International Conference on Mechatronics, 2004. ICM '04..

[31]  Glenn P. Tournier,et al.  Estimation and Control of a Quadrotor Vehicle Using Monocular Vision and Moire Patterns , 2006 .

[32]  H. Wayne Beaty,et al.  Electric Motor Handbook , 1998 .

[33]  Robert C. Nelson,et al.  Flight Stability and Automatic Control , 1989 .

[34]  T. J. Kim,et al.  Development of a Hovering Robot System for Calamity Observation , 2005 .

[35]  Robert Mahony,et al.  Modelling and control of a quad-rotor robot , 2006 .

[36]  Edwin W. Aiken,et al.  Rotorcraft as Mars Scouts , 2002, Proceedings, IEEE Aerospace Conference.

[37]  Stephen J. Chapman,et al.  Electric Machinery Fundamentals , 1991 .

[38]  Rogelio Lozano,et al.  Real-time stabilization and tracking of a four rotor mini-rotorcraft , 2003 .

[39]  Lyle N. Long,et al.  A Small Semi-Autonomous Rotary-Wing Unmanned Air Vehicle (UAV) , 2005 .

[40]  Norman S. Nise,et al.  Control Systems Engineering , 1991 .

[41]  Massoud Pedram,et al.  An analytical model for predicting the remaining battery capacity of lithium-ion batteries , 2003, 2003 Design, Automation and Test in Europe Conference and Exhibition.

[42]  M. Chen,et al.  A Simulation Model and H( Loop Shaping Control of a Quad Rotor Unmanned Air Vehicle , 2003, Modelling, Simulation, and Optimization.

[43]  I. Kroo,et al.  Development of the Mesicopter : A Miniature Autonomous Rotorcraft , 1999 .

[44]  Claire J. Tomlin,et al.  Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment , 2007 .

[45]  Jan Wendel,et al.  An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter , 2006 .