Adaptive control of mechanical manipulators
International Journal of Robotics Research
Stability and robustness analysis of a class of adaptive controllers for robotic manipulators
International Journal of Robotics Research
Nonlinear Control Systems
Stable multi-estimation model for single-input single-output discrete adaptive control systems
International Journal of Systems Science
IEEE Transactions on Fuzzy Systems
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A robust tracking controller for robot manipulators measuring only the angular positions and considering model uncertainties is presented. It is considered that the model is uncertain; that is, the system parameters, nonlinear terms, external perturbations, and the friction effects in each robot joint are considered unknown. The controller is composed by two parts, a linearizing-like control feedback and a high-gain estimator. The main idea is to lump the uncertain terms into a new state which represents the dynamics of the uncertainties. This new state is then estimated in order to be compensated. In this way the resulting controller is robust. A numerical example for a RR robot manipulator is provided, in order to corroborate the results.