Saturated Neural Adaptive Robust Output Feedback Control of Robot Manipulators:An Experimental Comparative Study

Experimental results for output feedback adaptive robot control

This work examines three methods of adaptive output feedback control for robotic manipulators. Implementing output feedback for control, instead of full-state feedback, allows use of only the position information. The position can be measured quite accurately, while velocity and acceleration measurements tend to get corrupted by noise. As well, having only a position sensor reduces costs in pro...

Robust adaptive control of voltage saturated flexible joint robots with experimental evaluations

This paper is concerned with the problem of design and implementation a robust adaptive control strategy for flexible joint electrically driven robots (FJEDR), while considering to the constraints on the actuator voltage input. The control design procedure is based on function approximation technique, to avoid saturation besides being robust against both structured and unstructured uncertaintie...

Global robust output feedback tracking control of robot manipulators

This paper addresses the problem of global output feedback, link position tracking control of robot manipulators. Specifically, a robust, Lyapunov-based controller is designed to ensure that the link position tracking error is globally uniformly ultimately bounded despite the fact that only link position measurements are available in the presence of incomplete model information (i.e., parametri...

Global adaptive output feedback tracking control of robot manipulators

This paper presents a solution to the problem of global, output feedback, tracking control of uncertain robot manipulators. Specifically, a desired compensation adaptation law plus a nonlinear feedback term coupled to a dynamic nonlinear filter is designed to produce global asymptotic link position tracking while compensating for parametric uncertainty and requiring only link position measureme...

Output feedback adaptive control of robot manipulators using observer backstepping

Robust Control of Encoderless Synchronous Reluctance Motor Drives Based on Adaptive Backstepping and Input-Output Feedback Linearization Techniques

In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...