Full formation control for autonomous helicopter groups

This paper reports the design of sliding-mode control laws for controlling multiple small-sized autonomous helicopters in arbitrary formations. Two control schemes, which are required for defining arbitrary three-dimensional formation meshes, are discussed. In the presented leader–follower formation control schemes, each helicopter only needs to receive motion information from at most two neighboring helicopters. A nonlinear six-degree-of-freedom dynamic model has been used for each helicopter. 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 the presence of parameter uncertainty in the dynamic model and wind disturbances are demonstrated by computer simulations.

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

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

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

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

[5]  Xiaoping Yun,et al.  Line and circle formation of distributed physical mobile robots , 1997 .

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

[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]  Jerry H. Ginsberg,et al.  Advanced Engineering Dynamics , 1988 .

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

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

[12]  S. Shankar Sastry,et al.  Autonomous helicopter formation using model predictive control , 2006 .

[13]  S. Shankar Sastry,et al.  Pursuit-evasion games with unmanned ground and aerial vehicles , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

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

[15]  William M. Spears,et al.  A Formal Analysis of Potential Energy in a Multi-agent System , 2004, FAABS.

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

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

[18]  S. Shankar Sastry,et al.  Optimization-based formation reconfiguration planning for autonomous vehicles , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

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

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

[21]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[22]  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).

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

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

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

[26]  J. Sprinkle,et al.  Implementing and testing a nonlinear model predictive tracking controller for aerial pursuit/evasion games on a fixed wing aircraft , 2005, Proceedings of the 2005, American Control Conference, 2005..