Expert Skill-Based Gain Tuning in Discrete-Time Adaptive Control for Robots
- 20 February 2004
- journal article
- Published by Fuji Technology Press Ltd. in Journal of Robotics and Mechatronics
- Vol. 16 (1), 54-60
- https://doi.org/10.20965/jrm.2004.p0054
Abstract
This paper presents a gain tuning method based on the sampling period in discrete-time adaptive control for robots. Gain matrices of model-based adaptive control in a continuous-time system are allowed a high gain positive definite. The maximum of the gains depends on the sampling period, however, and gain tuning is very time-consuming. It is thus desirable to give a gain tuning rule in discrete-time adaptive control. The proposed gain tuning consists of two steps. The first is gain tuning at the basic sampling period by a skilful specialist by trial and error. The second step, executed if the sampling period changes, is a new gain calculation based on a new sampling period. The simulation and experiments with 1-dof and 3-dof robots demonstrate that the robot controller is stable at the large variance of sampling period changes and more accurate than a fixed gain controller.Keywords
This publication has 6 references indexed in Scilit:
- Stability analysis of an adaptive controller for robotic manipulatorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Automatic PID Tuning Considering Motor Maximum Input and Power Consumption for Servo Control SystemsTRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2003
- Modeling and Solution Methods for Efficient Real-Time Simulation of Multibody DynamicsMultibody System Dynamics, 1997
- An efficient algorithm for the model-based adaptive control of robotic manipulatorsIEEE Transactions on Robotics and Automation, 1996
- A robust adaptive controller for robot manipulatorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- On the Adaptive Control of Robot ManipulatorsThe International Journal of Robotics Research, 1987