Perched landing manoeuvres with a variable sweep wing UAV

Abstract A variable sweep wing UAV is developed utilising off the shelf components with a custom mechanism for the wing box. The movement of the wing sweep in flight enables large pitching moments suitable for performing perching manoeuvres. Wind tunnel data is presented that confirms the favourable characteristics expected from sweeping the wing and achieving high pitch rates. Whilst only small sweep changes are required during flight, the design allows up to 30 ∘ forward sweep for significant pitching moments during the flare. A new collection of controllers is developed based on observations from similar landing techniques performed by birds and hang-gliders onto flat ground. The three-stage landing process takes the aircraft along an approach path, through a roundout procedure during which airspeed decays and concludes with rapid pitch up. Flight test results are presented during which it is found that the airspeed can be reduced to, on average, under 3  m / s in the final moments before landing – well below the stall speed of 9  m / s .

[1]  R. Wood,et al.  Perching and takeoff of a robotic insect on overhangs using switchable electrostatic adhesion , 2016, Science.

[2]  Gregory W. Reich,et al.  Near-Optimal Perching Trajectory Selection using Bézier Curve Interpolation , 2013 .

[3]  Tiauw Hiong Go,et al.  Perching trajectory optimization using aerodynamic and thrust vectoring , 2013 .

[4]  Daniel J. Inman,et al.  A Review of Morphing Aircraft , 2011 .

[5]  Tim Wyllie.  Parachute recovery for UAV systems , 2001 .

[6]  Ephrahim Garcia,et al.  Optimization of Perching Maneuvers Through Vehicle Morphing , 2008 .

[7]  Vijay Kumar,et al.  Toward autonomous avian-inspired grasping for micro aerial vehicles , 2014, Bioinspiration & biomimetics.

[8]  Kim Wright,et al.  Investigating the use of wing sweep for pitch control of a small unmanned air vehicle , 2011 .

[9]  Russ Tedrake,et al.  Robust post-stall perching with a simple fixed-wing glider using LQR-Trees , 2014, Bioinspiration & biomimetics.

[10]  Tiauw Hiong Go,et al.  A parametric study of fixed-wing aircraft perching maneuvers , 2015 .

[11]  Daewon Lee,et al.  Fully Autonomous Vision-Based Net-Recovery Landing System for a Fixed-Wing UAV , 2013, IEEE/ASME Transactions on Mechatronics.

[14]  A. Lambregts.  Vertical flight path and speed control autopilot design using total energy principles , 1983 .

[15]  Mark R. Cutkosky,et al.  Landing, perching and taking off from vertical surfaces , 2011, Int. J. Robotics Res..

[16]  R. Stephenson.  A and V , 1962, The British journal of ophthalmology.

[17]  Tiauw Hiong Go,et al.  Dynamics of sideslip perching maneuver under dynamic stall influence , 2016 .

[18]  Hiroki Taniguchi,et al.  Analysis of deepstall landing for UAV , 2008 .

[19]  W. Marsden.  I and J , 2012 .

[20]  Armando R. Rodriguez.  Morphing Aircraft Technology Survey , 2007 .

[21]  I. Chekkal,et al.  Design of a Morphing Wing tip , 2015 .

[22]  Frank L. Lewis,et al.  Aircraft Control and Simulation , 1992 .

[23]  Mujahid Abdulrahim.  Flight Performance Characteristics of a Biologically-Inspired Morphing Aircraft , 2005 .

[24]  Christoph Hürzeler,et al.  A perching mechanism for micro aerial vehicles , 2009 .

[25]  Jonathan P. How,et al.  Hover, Transition, and Level Flight Control Design for a Single-Propeller Indoor Airplane , 2007 .

[26]  L. F. Faleiro,et al.  Analysis and Tuning of a ' Total Energy Control System' Control Law using Eigenstructure Assignment , 1999 .

[27]  Rick E. Cory,et al.  Supermaneuverable perching , 2010 .

[28]  Mujahid Abdulrahim,et al.  Flight Dynamics of a Morphing Aircraft Utilizing Independent Multiple-Joint Wing Sweep , 2010 .

[29]  Kristoffer Gryte,et al.  Non-linear Model Predictive Control for Longitudinal and Lateral Guidance of a Small Fixed-Wing UAV in Precision Deep Stall Landing , 2016 .

[30]  M. Kovac,et al.  Learning from nature how to land aerial robots , 2016, Science.

[31]  Jonathan P. How,et al.  A New Nonlinear Guidance Logic for Trajectory Tracking , 2004 .