Impedance control of a bio-inspired flying and adhesion robot

Endurance is a critical problem that most flying robots will definitely encounter. Inspired by flying animals in nature that take frequent short flights with periods of perching in between, we propose an innovative mechanism with flying and adhesion to solve this problem. Previously, we have developed some prototypes of flying and adhesion robots. However, when the robots switch between flying and adhesion, it is difficult to control the contact force; moreover, the robots could be damaged because of the abnormal contact with the environment. Therefore, we propose an impedance control approach for bio-inspired flying and adhesion robots to have smooth contact with the environment. The dynamic model of a bio-inspired robot is described, and the proposed impedance control method is applied to regulate the contact force with the environment. The bio-inspired flying and adhesion robot performs several phases of desired missions in the sequential manner. Firstly, the robot performs position control to approach the desired perch position. Secondly, the robot contacts with the environment and regulate the contact force. Both simulation and experiments were performed to validate the proposed method. The results verified the feasibility of the proposed control methods in controlling a bio-inspired flying and adhesion robot.

[1]  Seul Jung,et al.  Force tracking impedance control of robot manipulators under unknown environment , 2004, IEEE Transactions on Control Systems Technology.

[2]  Daniel D. Jensen,et al.  The Sticky-Pad Plane and other Innovative Concepts for Perching UAVs , 2009 .

[3]  Ephrahim Garcia,et al.  Perching aerodynamics and trajectory optimization , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[4]  Maria L. Gini,et al.  Enlisting rangers and scouts for reconnaissance and surveillance , 2000, IEEE Robotics Autom. Mag..

[5]  Zhenmin Tang,et al.  A bat-like switched flying and adhesive robot , 2012, 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[6]  Toshio Fukuda,et al.  Position/force control of robot manipulators for geometrically unknown objects using fuzzy neural networks , 2000, IEEE Trans. Ind. Electron..

[7]  Kin Huat Low,et al.  A Bio-Inspired Adaptive Perching Mechanism for Unmanned Aerial Vehicles , 2012, J. Robotics Mechatronics.

[8]  Ephrahim Garcia,et al.  Longitudinal dynamics of a perching aircraft , 2006 .

[9]  Mark W. Spong,et al.  Hybrid impedance control of robotic manipulators , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[10]  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).

[11]  Eric Krotkov,et al.  The Defense Advanced Research Projects Agency (DARPA) Tactical Mobile Robotics Program , 1999, Int. J. Robotics Res..

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

[13]  Heping Chen,et al.  A micro robot with the ability of fly and adhesion: Development and experiment , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[14]  Boubaker Daachi,et al.  ROBUST FEEDBACK LINEARIZATION AND GH∞ CONTROLLER FOR A QUADROTOR UNMANNED AERIAL VEHICLE , 2005 .

[15]  Abdelaziz Benallegue,et al.  Backstepping Control for a Quadrotor Helicopter , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Rogelio Lozano,et al.  Real-time stabilization and tracking of a four-rotor mini rotorcraft , 2004, IEEE Transactions on Control Systems Technology.

[17]  Seul Jung,et al.  Robust neural force control scheme under uncertainties in robot dynamics and unknown environment , 2000, IEEE Trans. Ind. Electron..

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

[19]  Vijay Kumar,et al.  Design, modeling, estimation and control for aerial grasping and manipulation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Mark R. Cutkosky,et al.  Landing and Perching on Vertical Surfaces with Microspines for Small Unmanned Air Vehicles , 2010, J. Intell. Robotic Syst..

[21]  K. J. Yoon,et al.  Development of a small autonomous flying robot with four-rotor system , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).