Autonomous reduced-gravity enabling quadrotor test-bed: Design, modelling and flight test analysis

Abstract This work establishes conventional quadrotors as viable platforms to produce non-zero reduced-gravity. Toward this, a 1-D vertical manoeuvre with time-varying acceleration is proposed, which when followed by the quadrotor, the on-board payload experiences desired reduced gravity level for a specified time period. Since the proposed manoeuvre involves high axial accelerations and velocities, the standard steady-state thrust model cannot be used. A CFD tool—RotCFD—is used to study the thrust variation of a quadrotor in axial flight, and develop a thrust model. The developed model is experimentally validated through series of axial flight tests. As a consequence of the time varying forces—propeller thrust as well as drag—acting on the quadrotor, a control structure with fixed gains is neither capable of stabilizing the attitude nor maintaining the desired accelerations. A novel method of gain compensation is proposed which stabilizes the quadrotor and ensures quick acceleration convergence to the commanded value. Flight tests results for various reduced gravity levels from 0.8g–0.3g for a time interval of 3 seconds are presented to demonstrate the repeatability and reliability of the proposed control and automation strategies. Experimental results show that g-quality of the order 10 − 3 g is achieved.

[1]  Claire J. Tomlin,et al.  Precision flight control for a multi-vehicle quadrotor helicopter testbed , 2011 .

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

[3]  Xiaoqian Chen,et al.  Experimental study on pool boiling of distilled water and HFE7500 fluid under microgravity , 2018 .

[4]  Yueneng Yang,et al.  A time-specified nonsingular terminal sliding mode control approach for trajectory tracking of robotic airships , 2018 .

[5]  M. Kouzaki,et al.  Effects of microgravity on blood flow in the upper and lower limbs , 2014 .

[6]  Shin-Ichiro Higashino,et al.  Automatic Microgravity Flight System and Flight Testing Using a Small Unmanned Aerial Vehicle , 2010 .

[7]  Dries Verstraete,et al.  Blade element momentum theory extended to model low Reynolds number propeller performance , 2017, The Aeronautical Journal.

[8]  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).

[9]  Anthony Tzes,et al.  Model predictive quadrotor control: attitude, altitude and position experimental studies , 2012 .

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

[11]  Olivier Minster,et al.  The First Joint European Partial-G Parabolic Flight Campaign at Moon and Mars Gravity Levels for Science and Exploration , 2012 .

[12]  Mark Shelhamer,et al.  The dynamics of parabolic flight: flight characteristics and passenger percepts. , 2008, Acta astronautica.

[13]  Ye Yan,et al.  Neural network approximation-based nonsingular terminal sliding mode control for trajectory tracking of robotic airships , 2016 .

[14]  Leonardo Kessler Slongo,et al.  Experimental testing of mini heat pipes under microgravity conditions aboard a suborbital rocket , 2015 .

[15]  Ruxandra Botez,et al.  Aero structural modeling of a wing using CATIA V5 and XFLR5 software and experimental validation using the Price- Païdoussis wing tunnel , 2015 .

[16]  Vijay Kumar,et al.  Minimum snap trajectory generation and control for quadrotors , 2011, 2011 IEEE International Conference on Robotics and Automation.

[17]  C. Reddy,et al.  Microgravity research platforms: A study , 2000 .

[18]  William Holderbaum,et al.  Body-centric modelling, identification, and acceleration tracking control of a quadrotor UAV , 2015, Int. J. Model. Identif. Control..

[19]  John Hauser,et al.  Triple-Integral Control for Reduced-G Atmospheric Flight , 2018, 2018 Annual American Control Conference (ACC).

[20]  Georg Herdrich,et al.  Aerodynamic and engineering design of a 1.5 s high quality microgravity drop tower facility , 2016 .

[21]  J. Casademunt,et al.  Generation and control of monodisperse bubble suspensions in microgravity , 2018, Aerospace Science and Technology.

[22]  Paul Gerke Hofmeister,et al.  Parabolic Flights @ Home , 2011 .