Control of Uncertain Nonlinear Multibody Mechanical Systems

Descriptions of real-life complex multibody mechanical systems are usually uncertain. Two sources of uncertainty are considered in this paper: uncertainties in the knowledge of the physical system and uncertainties in the “given” forces applied to the system. Both types of uncertainty are assumed to be time varying and unknown, yet bounded. In the face of such uncertainties, what is available in hand is therefore just the so-called “nominal system,” which is our best assessment and description of the actual real-life situation. A closed-form equation of motion for a general dynamical system that contains a control force is developed. When applied to a real-life uncertain multibody system, it causes the system to track a desired reference trajectory that is prespecified for the nominal system to follow. Thus, the real-life system’s motion is required to coincide within prespecified error bounds and mimic the motion desired of the nominal system. Uncertainty is handled by a controller based on a generalization of the concept of a sliding surface, which permits the use of a large class of control laws that can be adapted to specific real-life practical limitations on the control force. A set of closed-form equations of motion is obtained for nonlinear, nonautonomous, uncertain, multibody systems that can track a desired reference trajectory that the nominal system is required to follow within prespecified error bounds and thereby satisfy the constraints placed on the nominal system. An example of a simple mechanical system demonstrates the efficacy and ease of implementation of the control methodology. [DOI: 10.1115/1.4025399]

[1]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

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

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

[4]  S. Ge,et al.  Robust motion/force control of uncertain holonomic/nonholonomic mechanical systems , 2004, IEEE/ASME Transactions on Mechatronics.

[5]  Dongbin Zhao,et al.  Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach , 2005, Proceedings of the 2005, American Control Conference, 2005..

[6]  Ling Shi,et al.  Data-Driven Power Control for State Estimation: A Bayesian Inference Approach , 2015, Autom..

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

[8]  Firdaus E. Udwadia,et al.  Equations of Motion for Constrained Multibody Systems and their Control , 2005 .

[9]  Chun-Yi Su,et al.  Robust motion/force control of mechanical systems with classical nonholonomic constraints , 1994, IEEE Trans. Autom. Control..

[10]  Phailaung Phohomsiri,et al.  Explicit equations of motion for constrained mechanical systems with singular mass matrices and applications to multi-body dynamics , 2006, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

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

[12]  Bor-Sen Chen,et al.  A mixed H2/H∞ adaptive tracking control for constrained non-holonomic systems , 2003, Autom..

[13]  Firdaus E. Udwadia,et al.  Nonideal Constraints and Lagrangian Dynamics , 2000 .

[14]  R. Kalaba,et al.  Equations of motion for nonholonomic, constrained dynamical systems via Gauss's principle , 1993 .

[15]  Jian Wang,et al.  Robust motion tracking control of partially nonholonomic mechanical systems , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[16]  Firdaus E. Udwadia,et al.  Equations of motion for mechanical systems: A unified approach , 1996 .

[17]  R. Kalaba,et al.  On the foundations of analytical dynamics , 2002 .

[18]  V. Utkin Variable structure systems with sliding modes , 1977 .

[19]  Ryozo Katoh,et al.  Robust adaptive motion/force tracking control of uncertain nonholonomic mechanical systems , 2003, IEEE Trans. Robotics Autom..

[20]  S. R. Searle,et al.  On Deriving the Inverse of a Sum of Matrices , 1981 .

[21]  Bor-Sen Chen,et al.  Robust tracking designs for both holonomic and nonholonomic constrained mechanical systems: adaptive fuzzy approach , 2000, IEEE Trans. Fuzzy Syst..

[22]  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.