Control Methodologies for Relative Motion Reproduction in a Robotic Hybrid Test Simulation of Aerial Refuelling

In many applications it is advantageous to simulate the relative motion of two bodies in a laboratory environment. This permits the testing of sensors and systems critical to the safety of equipment and personnel with reduced risk, and facilitates stage-gate management of large projects to mitigate financial risks. The University of Bristol is collaborating with Cobham Mission Equipment to develop a large-scale facility for relative motion simulation, primarily for the purpose of testing automated air-to-air refuelling systems. The facility incorporates two 6DOF articulated robotic arms whose motion is dictated by real-time numerical simulations of the physical environment. Sensors on the robot-mounted equipment feed back into the numerical simulation to perform closed loop simulations with real hardware. This paper discusses the development of the facility and the different approaches considered for achieving real-time control of the robotic hardware. It then goes on to focus on aspects of the control topologies and motion optimisation which are used to maximise the performance of the facility. The current capabilities are demonstrated with respect to an aerial refuelling exercise and future challenges are explored.

[1]  Nicholas A J Lieven,et al.  Testing coupled rotor blade–lag damper vibration using real-time dynamic substructuring , 2007 .

[2]  Naira Hovakimyan,et al.  L1 Adaptive Neural Network Controller for Autonomous Aerial Refueling with Guaranteed Transient Performance , 2006 .

[3]  Marcello R. Napolitano,et al.  GPS / MV based Aerial Refueling for UAVs , 2008 .

[4]  John Valasek,et al.  Vision Based Sensor and Navigation System for Autonomous Aerial Refueling , 2002 .

[5]  John Valasek,et al.  Autonomous Aerial Refueling Utilizing A Vision Based Navigation System , 2002 .

[6]  Klaus Landzettel,et al.  Simulation of the Docking Phase for the Smart-OLEV Satellite Servicing Mission , 2008 .

[7]  M. Innocenti,et al.  Vision-Based Autonomous Probe and Drogue Aerial Refueling , 2006, 2006 14th Mediterranean Conference on Control and Automation.

[8]  Steven M. Ross,et al.  Demonstration of a Control Algorithm for Autonomous Aerial Refueling (Project "No Gyro") , 2005 .

[9]  S. Shankar Sastry,et al.  Reachability calculations for automated aerial refueling , 2008, 2008 47th IEEE Conference on Decision and Control.

[10]  P. L. Deal,et al.  Simulator study of stall/post-stall characteristics of a fighter airplane with relaxed longitudinal static stability. [F-16] , 1979 .

[11]  Naira Hovakimyan,et al.  Aerial Refueling Autopilot Design Methodology: Application to F-16 Aircraft Model , 2004 .

[12]  Naira Hovakimyan,et al.  A differential game approach to aerial refueling autopilot design , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[13]  Jennifer L. Hansen,et al.  The NASA Dryden Flight Test Approach to an Aerial Refueling System , 2013 .

[14]  John Valasek,et al.  Fault Tolerant SAMI for Vision-Based Probe and Drogue Autonomous Aerial Refueling , 2009 .

[15]  Mario G. Perhinschi,et al.  Machine Vision/GPS Integration Using EKF for the UAV Aerial Refueling Problem , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Mario G. Perhinschi,et al.  AUTONOMOUS AERIAL REFUELING FOR UAVS USING A COMBINED GPS-MACHINE VISION GUIDANCE , 2004 .

[17]  Naira Hovakimyan,et al.  Verifiable L1 Adaptive Controller for Aerial Refueling , 2007 .

[18]  Adam D Weaver,et al.  Using Predictive Rendering as a Vision-Aided Technique for Autonomous Aerial Refueling , 2012 .

[19]  James H. Spencer Optical Tracking for Relative Positioning in Automated Aerial Refueling , 2007 .

[20]  Branislav Titurus,et al.  Transfer Dynamics Cancellation in Real-Time Dynamic Substructuring , 2010 .

[21]  Atilla Dogan,et al.  Dynamic effects of trailing vortex with turbulence & time-varying inertia in aerial refueling , 2004 .

[22]  John Valasek,et al.  Vision based controller for autonomous aerial refueling , 2002, Proceedings of the International Conference on Control Applications.

[23]  Michael J. Allen,et al.  Autonomous Airborne Refueling Demonstration, Phase I Flight-Test Results , 2007 .

[24]  James W. Kamman,et al.  Modeling and Simulation of Hose-Paradrogue Aerial Refueling Systems , 2010 .

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

[26]  Naira Hovakimyan,et al.  Novel L1 adaptive control methodology for aerial refueling with guaranteed transient performance , 2008 .

[27]  Atilla Dogan,et al.  INVESTIGATING NONLINEAR CONTROL ARCHITECTURE OPTIONS FOR AERIAL REFUELING , 2010 .

[28]  Mario Innocenti,et al.  Vision Algorithms for Formation Flight and Aerial Refueling with Optimal Marker Labeling , 2005 .

[29]  Anders Robertsson,et al.  Flexible application development and high-performance motion control based on external sensing and reconfiguration of ABB industrial robot controllers , 2010, ICRA 2010.

[30]  M.I. Wallace,et al.  An adaptive polynomial based forward prediction algorithm for multi-actuator real-time dynamic substructuring , 2005, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[31]  Monish D. Tandale,et al.  Vision-Based Sensor and Navigation System for Autonomous Air Refueling , 2005 .

[32]  Jennifer L. Hansen,et al.  The NASA Dryden AAR Project: A Flight Test Approach to an Aerial Refueling System , 2004 .

[33]  Naira Hovakimyan,et al.  L1 Adaptive Augmentation of Gain-scheduled Controller for Racetrack Maneuver in Aerial Refueling , 2009 .

[34]  Perry Newhook A Robotic Simulator for Satellite Operations , 2001 .

[35]  Marcello R. Napolitano,et al.  Modeling and control issues for autonomous aerial refueling for UAVs using a probe–drogue refueling system , 2004 .

[36]  Shinya Sato,et al.  Flight Control and Simulation for Aerial Refueling , 2005 .

[37]  Mario Innocenti,et al.  Experimental Evaluation of Vision Algorithms for Formation Flight and Aerial Refueling , 2004 .

[38]  F. O. Eke,et al.  A Survey of the Dynamics and Control of Aircraft During Aerial Refueling , 2008 .

[39]  S. T. Wang,et al.  Atmospheric turbulence simulation techniques with application to flight analysis , 1980 .

[40]  William Blake,et al.  Control of a Receiver Aircraft Relative to the Tanker in Racetrack Maneuver , 2006 .

[41]  James M. Ricles,et al.  Analysis of actuator delay compensation methods for real-time testing , 2009 .

[42]  Monish D. Tandale,et al.  Trajectory Tracking Controller for Vision-Based Probe and Drogue Autonomous Aerial Refueling , 2005 .

[43]  B.A. Kish,et al.  Autonomous aerial refueling based on the tanker reference frame , 2006, 2006 IEEE Aerospace Conference.

[44]  C. G. Justus,et al.  New Atmospheric Turbulence Model for Shuttle Applications , 1990 .

[45]  Jason L. Speyer,et al.  Sensor Fusion Applied to Autonomous Aerial Refueling , 2009 .

[46]  Atilla Dogan,et al.  Dynamic Effects of Trailing Vortex with Turbulence & Time-Varying Inertia Properties in Aerial Refueling , 2004 .

[47]  Kenneth M Dorsett,et al.  Innovative Control Effectors (ICE) , 1996 .