An efficient algorithm for the calculation of the filtered dynamic model of robots

This paper presents a new method for the calculation of the filtered dynamic model of robots which is used in the adaptive control of robots and in the identification of its inertial parameters. The main characteristics of the method is that no symbolic differentiation is used. The variables used in the algorithm are obtained from the transformation matrices between successive link frames. The number of operations in the general case and for some industrial robots are given.

[1]  C. C. Wit,et al.  Parameters Identification of Robots Manipulators via Sequential Hybrid Estimation Algorithms , 1990 .

[2]  Wisama Khalil,et al.  A new geometric notation for open and closed-loop robots , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[3]  Wisama Khalil,et al.  Direct calculation of minimum set of inertial parameters of serial robots , 1990, IEEE Trans. Robotics Autom..

[4]  Yury Stepanenko,et al.  A Reduced-Order Regressor and Its Application to Adaptive Robotic Control , 1993, Int. J. Robotics Res..

[5]  Wisama Khalil,et al.  A system for generating the symbolic models of robots , 1994 .

[6]  Koichi Osuka,et al.  Base parameters of manipulator dynamic models , 1990, IEEE Trans. Robotics Autom..

[7]  J. Slotine,et al.  On the Adaptive Control of Robot Manipulators , 1987 .

[8]  Wisama Khalil,et al.  Minimum operations and minimum parameters of the dynamic models of tree structure robots , 1987, IEEE Journal on Robotics and Automation.

[9]  S. Shankar Sastry,et al.  Adaptive identification and control for manipulators without using joint accelerations , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[10]  Graham C. Goodwin,et al.  Adaptive computed torque control for rigid link manipulators , 1986, 1986 25th IEEE Conference on Decision and Control.