Biological Analogs and Emergent Intelligence for Control of Stratospheric Balloon Constellations

Global Aerospace Corporation is developing a revolutionary concept for a global constellation and network of hundreds of stratospheric superpressure balloons. Global Aerospace Corporation and Princeton University are studying methods of controlling the geometry of these stratospheric balloon constellations using concepts related to and inspiration derived from biological group behavior such as schooling, flocking, and herding. The method of artificial potentials determines control settings for trajectory control systems in the steady flow regions. Weak Stability Boundary theory is used to (a) determine the interfaces between smooth flow and areas where chaotic conditions exist and (b) calculate control settings in regions of chaotic flow.

[1]  Pradeep K. Khosla,et al.  Superquadric artificial potentials for obstacle avoidance and approach , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[2]  Wyatt S. Newman,et al.  High speed robot control and obstacle avoidance using dynamic potential functions , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[3]  R. Ortega,et al.  On passivity‐based output feedback global stabilization of euler‐lagrange systems , 1995 .

[4]  Naomi Ehrich Leonard Stabilization of underwater vehicle dynamics with symmetry-breaking potentials , 1997 .

[5]  A. Ōkubo Dynamical aspects of animal grouping: swarms, schools, flocks, and herds. , 1986, Advances in biophysics.

[6]  Charles W. Warren,et al.  Global path planning using artificial potential fields , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[7]  Kim M. Aaron,et al.  GLOBAL CONSTELLATIONS OF STRATOSPHERIC SATELLITES , 2001 .

[8]  Francesco Bullo,et al.  Stabilization of relative equilibria for underactuated systems on Riemannian manifolds , 2000, Autom..

[9]  Kim M. Aaron,et al.  Balloon trajectory control , 1999 .

[10]  Naomi Ehrich Leonard,et al.  Controlled Lagrangians and the stabilization of mechanical systems. II. Potential shaping , 2001, IEEE Trans. Autom. Control..

[11]  Jean-Claude Latombe,et al.  Robot motion planning with many degrees of freedom and dynamic constraints , 1991 .

[12]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1986 .

[13]  J. K. Miller,et al.  Sun-Perturbed Earth-to-Moon Transfers with Ballistic Capture , 1993 .

[14]  Daniel E. Koditschek,et al.  Exact robot navigation using artificial potential functions , 1992, IEEE Trans. Robotics Autom..

[15]  Kim M. Aaron,et al.  Global stratospheric balloon constellations , 2002 .

[16]  Kim M. Aaron,et al.  A method for balloon trajectory control , 2002 .

[17]  Daniel E. Koditschek,et al.  An approach to autonomous robot assembly , 1994, Robotica.

[18]  Julia K. Parrish,et al.  Animal Groups in Three Dimensions: Analysis , 1997 .

[19]  A. J. Schaft,et al.  Stabilization of Hamiltonian systems , 1986 .

[20]  N.E. Leonard,et al.  Orientation control of multiple underwater vehicles with symmetry-breaking potentials , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[21]  Naomi Ehrich Leonard,et al.  Virtual leaders, artificial potentials and coordinated control of groups , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[22]  L. Edelstein-Keshet,et al.  Complexity, pattern, and evolutionary trade-offs in animal aggregation. , 1999, Science.

[23]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.