A discrete‐time adaptive control scheme for robot manipulators

Abstract

Abstract A discrete‐time model reference adaptive control scheme is developed for trajectory tracking of robot manipulators. The scheme utilizes feedback, feedforward, and auxiliary signals, obtained from joint angle measurement through simple expressions. Hyperstability theory is utilized to derive the adaptation laws for the controller gain matrices. It is shown that trajectory tracking is achieved despite gross robot parameter variation and uncertainties. The method offers considerable design flexibility and enables the designer to improve the performance of the control system by adjusting free design parameters. The discrete‐time adaptation algorithm is extremely simple and is therefore suitable for real‐time implementation. Simulations and experimental results are given to demonstrate the performance of the scheme.