Control of three-dimensional incompressible hyperelastic beams

The problem of control of three-dimensional incompressible hyperelastic cantilever beams is approached from an analytical dynamics perspective. The dynamic equations of motion of the hyperelastic beam are derived using the absolute nodal coordinate formulation, which is a finite element method that accurately describes large-deformation and large-rotation nonlinear motion in structures. The fully parameterized classical ANCF element is used to characterize the displacement field of each finite element in the beam. Nonlinear constitutive models (such as the near-incompressible neo-Hookean material model) are used to describe the rubber-like behavior of the beam. Control of such a hyperelastic beam is approached using the theory of constrained motion, where the control objectives are reformulated as constraints that are imposed on the continuum. The fundamental equation of mechanics is employed to obtain the explicit generalized nonlinear control forces in closed form, which are applied at the nodes of the beam in order to achieve the desired control objectives. No linearizations and/or approximations are made in the dynamics of the nonlinear continuum, and no a priori structure is imposed on the nature of the nonlinear controller. Four numerical simulations demonstrating the control of a highly flexible 30-element hyperelastic cantilever beam are presented to show the efficacy of the control methodology in achieving the desired control objectives.

[1]  R. Kalaba,et al.  A new perspective on constrained motion , 1992, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[3]  R. Y. Yakoub,et al.  Three Dimensional Absolute Nodal Coordinate Formulation for Beam Elements: Implementation and Applications , 2001 .

[4]  F. Udwadia,et al.  Energy control of inhomogeneous nonlinear lattices , 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  Jun Nakanishi,et al.  A unifying framework for robot control with redundant DOFs , 2007, Auton. Robots.

[6]  Janusz Frączek,et al.  Nearly incompressible nonlinear material models in the large deformation analysis of beams using ANCF , 2015 .

[7]  R. Y. Yakoub,et al.  Three Dimensional Absolute Nodal Coordinate Formulation for Beam Elements: Theory , 2001 .

[8]  Firdaus E. Udwadia,et al.  Optimal stable control for nonlinear dynamical systems: an analytical dynamics based approach , 2015 .

[9]  F. Udwadia,et al.  Nonlinear Dynamics and Control of a Dumbbell Spacecraft System , 2008 .

[10]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[11]  Ohseop Song,et al.  Application of adaptive technology to static aeroelastic control of wing structures , 1992 .

[12]  Firdaus E. Udwadia,et al.  Explicit Control Force and Torque Determination for Satellite Formation-Keeping with Attitude Requirements , 2013 .

[13]  Firdaus E. Udwadia,et al.  An Alternative Derivation of the Quaternion Equations of Motion for Rigid-Body Rotational Dynamics , 2010 .

[14]  C. Pappalardo A natural absolute coordinate formulation for the kinematic and dynamic analysis of rigid multibody systems , 2015 .

[15]  Eric K. Hall,et al.  Coupled vibration isolation/suppression system for space applications: aspects of structural design , 1995, Smart Structures.

[16]  Firdaus E. Udwadia,et al.  Control of Uncertain Nonlinear Multibody Mechanical Systems , 2014 .

[17]  F. Udwadia A new perspective on the tracking control of nonlinear structural and mechanical systems , 2003, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[18]  R. D. Wood,et al.  Nonlinear Continuum Mechanics for Finite Element Analysis , 1997 .

[19]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

[20]  Firdaus E. Udwadia,et al.  Constrained Motion of Mechanical Systems and Tracking Control of Nonlinear Systems , 2014 .

[21]  Cagdas D. Onal,et al.  Design and control of a soft and continuously deformable 2D robotic manipulation system , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[22]  Harshavardhan Mylapilli An Analytical Dynamics Approach to the Control of Mechanical Systems , 2015 .

[23]  A. Ibrahimbegovic Nonlinear Solid Mechanics , 2009 .

[24]  F. Udwadia Optimal tracking control of nonlinear dynamical systems , 2008, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[25]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[26]  Eduardo D. Sontag,et al.  Mathematical Control Theory: Deterministic Finite Dimensional Systems , 1990 .

[27]  Tayfun Çimen,et al.  State-Dependent Riccati Equation (SDRE) Control: A Survey , 2008 .

[28]  Firdaus E. Udwadia,et al.  A unified approach to rigid body rotational dynamics and control , 2011, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[29]  F. Udwadia,et al.  Energy control of nonhomogeneous Toda lattices , 2015 .

[30]  Dusan M. Stipanovic,et al.  Decentralised control of nonlinear dynamical systems , 2014, Int. J. Control.

[31]  R. Kalaba,et al.  Analytical Dynamics: A New Approach , 1996 .

[32]  Ahmed A. Shabana,et al.  Computational Continuum Mechanics , 2008 .

[33]  Ahmed A. Shabana,et al.  Poisson modes and general nonlinear constitutive models in the large displacement analysis of beams , 2007 .