Adaptive position tracking control system based on recurrent fuzzy wavelet neural networks for robot manipulators

Author(s):  
ThangLong Mai ◽  
YaoNan Wang
Robotica ◽  
1999 ◽  
Vol 17 (2) ◽  
pp. 121-129 ◽  
Author(s):  
W.E. Dixon ◽  
M.S. de Queiroz ◽  
F. Zhang ◽  
D.M. Dawson

This paper examines the problem of link position tracking control of robot manipulators with bounded torque inputs. An adaptive, full-state feedback controller and an exact model knowledge, output feedback controller are designed to produce semi-global asymptotic link position tracking errors. Simulation results are provided to validate the theoretical concepts, and a comparative analysis demonstrates the benefits of the proposed controllers.


2020 ◽  
Vol 31 (12) ◽  
pp. 1524-1540
Author(s):  
Saeed Karimi ◽  
Bardia Konh

Percutaneous needle-based intervention is a technique used in minimally invasive surgical procedures such as brachytherapy, thermal ablation, and biopsy. Targeting accuracy in these procedures is a defining factor for success. Active needle steering introduces the potential to increase the targeting accuracy in such procedures to improve the clinical outcome. In this work, a novel 3D steerable active flexible needle with shape memory alloy actuators was developed. Active needle actuation response to a variety of actuation scenarios was analyzed to develop a kinematic model. Shape memory alloy actuators were characterized in terms of their actuation strain, electrical resistance, and required electrical power to design a self-sensing electrical resistance feedback control system for position tracking control of the active needle. The control system performance was initially tested in position tracking control of a single shape memory alloy actuator and then was implemented on multiple interacting shape memory alloy actuators to manipulate the 3D steerable active needle along a reference path. The electrical resistance feedback control of the multiple interacting shape memory alloy actuators enabled the active needle to reach target points in a planar workspace of about 20 mm. Results demonstrated shape memory alloys as promising alternatives for traditional actuators used in surgical instruments with enhanced design, characterization, and control capabilities.


Robotica ◽  
2004 ◽  
Vol 22 (4) ◽  
pp. 351-357 ◽  
Author(s):  
W. E. Dixon ◽  
E. Zergeroglu ◽  
D. M. Dawson

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., parametric uncertainty and additive bounded disturbances).


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