Active Vibration Control of Flexible Robots Using Virtual Spring-damper Systems

When using robots for heavy loads and huge operating ranges, elastic deformations of the links have to be taken into account during modeling and controller design. Whereas for conventional rigid multilink industrial robots modeling can schematically be done by standard techniques, it is a massive problem to obtain an accurate analytic model for multilink flexible robots. But an accurate analytic model is essential for most modern controller design techniques, and modeling errors can lead to instability of the controlled system due to spillover since the eigenvalues of the system are only slightly damped. A new approach to active damping control for flexible robots is presented in this paper where the actuators act like virtual spring-damper-systems. As the spring-damper-element is a passive energy dissipative device, it will never destabilize the system and thus the control concept will be very insensitive to modeling errors. Basically, the two parameters, spring stiffness and damping constant of this system, are arbitrary and model independent. To satisfy performance requirements they are adjusted using knowledge of the system model. The more it is known about the system model, the better these parameters may be adjusted. The new input of the controlled system is a virtual variation of the spring base. The paper illustrates this technique with the help of a simple and easy to model one link flexible robot which is also available as a real laboratory testbed.

[1]  Jacob Kogan,et al.  Nonlinear control systems with vector cost , 1986 .

[2]  Minh Q. Phan,et al.  Robust controller designs for second-order dynamic systems - A virtual passive approach , 1991 .

[3]  Fumitoshi Matsuno,et al.  Modelling and control of a flexible manipulator with a parallel drive mechanism , 1986 .

[4]  L. Meirovitch Analytical Methods in Vibrations , 1967 .

[5]  Zhongwei Jiang,et al.  Tracking Control of a Miniature Flexible Arm Using Piezoelectric Bimorph Cells , 1992 .

[6]  W. Book Recursive Lagrangian Dynamics of Flexible Manipulator Arms , 1984 .

[7]  W. Bernzen,et al.  Nonlinear control of hydraulic differential cylinders actuating a flexible robot , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[8]  R. Daniel,et al.  Perturbation Techniques for Flexible Manipulators , 1991 .

[9]  Carlos Canudas de Wit,et al.  Theory of Robot Control , 1996 .

[10]  A. Isidori Nonlinear Control Systems , 1985 .

[11]  Werner Bernzen On Vibration Damping of Hydraulically Driven Flexible Robots , 1997 .

[12]  J. Heintze,et al.  Inner-loop design and analysis for hydraulic actuators, with an application to impedance control , 1994 .

[13]  W. Book Recursive Lagrangian Dynamics of Flexible Manipulator Arms via Transformation Matrices , 1983 .

[14]  Wayne J. Book,et al.  Controlled Motion in an Elastic World , 1993 .

[16]  Thomas E. Alberts,et al.  Dynamic Analysis to Evaluate Viscoelastic Passive Damping Augmentation for the Space Shuttle Remote Manipulator System , 1992 .

[17]  S. Hartmann,et al.  Modelling and Model Fitting of Flexible Robots – a Multibody System Toolkit Approach , 1998, J. Intell. Robotic Syst..

[18]  R. J. Wynne,et al.  Modelling and control of active damping for vibration suppression , 1996 .

[19]  Nejat Olgac,et al.  Tunable Active Vibration Absorber: The Delayed Resonator , 1995 .