Towards Full Formation Control of an Autonomous Helicopters Group

This publication reports the first steps taken towards designing sliding mode control laws for controlling multiple small-sized autonomous helicopters in arbitrary formations. Two control schemes, which are required for defining a unique three-dimensional formation, are discussed. One of the schemes is developed in this work as a step towards full formation control. The presented formation control schemes only use local information. A six-degree-of-freedom dynamic model has been used for the helicopters. Four control inputs, the main and the tail rotor thrusts, and the roll and pitch moments, are assumed. Parameter uncertainty in the dynamic model and wind disturbance are considered in designing the controllers. The effectiveness and robustness of these control laws in presence of parameter uncertainty in the dynamic model and wind disturbances are demonstrated by computer simulations. Finally, the plans for improvement and completion of this work are discussed.

[1]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[2]  Vijay Kumar,et al.  Decentralized control of cooperating mobile manipulators , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[3]  Hiroaki Yamaguchi,et al.  A Cooperative Hunting Behavior by Mobile-Robot Troops , 1999, Int. J. Robotics Res..

[4]  Andrew G. Sparks,et al.  Spacecraft formation flying: dynamics and control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[5]  Kar-Han Tan,et al.  High Precision Formation Control of Mobile Robots Using Virtual Structures , 1997, Auton. Robots.

[6]  Mark R. Anderson,et al.  FORMATION FLIGHT AS A COOPERATIVE GAME , 1998 .

[7]  P. Wang,et al.  Coordination and control of multiple microspacecraft moving in formation , 1996 .

[8]  C. McInnes Autonomous ring formation for a planar constellation of satellites , 1995 .

[9]  Randal W. Beard,et al.  Decentralized Scheme for Spacecraft Formation Flying via the Virtual Structure Approach , 2004 .

[10]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[11]  Dawn M. Tilbury,et al.  Mathematical Modeling and Experimental Identification of an Unmanned Helicopter Robot with Flybar Dynamics , 2004, J. Field Robotics.

[12]  Xiaoping Yun,et al.  Line and circle formation of distributed physical mobile robots , 1997, J. Field Robotics.

[13]  T.I. Fossen,et al.  Nonlinear formation control of marine craft with experimental results , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[14]  Fred Y. Hadaegh,et al.  Adaptive Control of Formation Flying Spacecraft for Interferometry , 1998 .

[15]  R. Beard,et al.  Constellation Templates: An Approach to Autonomous Formation Flying , 1998 .

[16]  Charles A. Desoer,et al.  Control of interconnected nonlinear dynamical systems: the platoon problem , 1992 .

[17]  Jianhua Chen,et al.  UUV teams, control from a biological perspective , 2002, OCEANS '02 MTS/IEEE.

[18]  Jaydev P. Desai,et al.  A Graph Theoretic Approach for Modeling Mobile Robot Team Formations , 2002, J. Field Robotics.

[19]  P. Wang,et al.  Synchronized Formation Rotation and Attitude Control of Multiple Free-Flying Spacecraft , 1997 .