scholarly journals Payload Mass Identification of a Single-Link Flexible Arm Moving under Gravity: An Algebraic Identification Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Juan Carlos Cambera ◽  
Andres San-Millan ◽  
Vicente Feliu-Batlle

We deal with the online identification of the payload mass carried by a single-link flexible arm that moves on a vertical plane and therefore is affected by the gravity force. Specifically, we follow a frequency domain design methodology to develop an algebraic identifier. This identifier is capable of achieving robust and efficient mass estimates even in the presence of sensor noise. In order to highlight its performance, the proposed estimator is experimentally tested and compared with other classical methods in several situations that resemble the most typical operation of a manipulator.

Mechatronics ◽  
2009 ◽  
Vol 19 (3) ◽  
pp. 334-347 ◽  
Author(s):  
Ismael Payo ◽  
Vicente Feliu ◽  
Osvaldo Daniel Cortázar

2013 ◽  
Vol 393 ◽  
pp. 675-682 ◽  
Author(s):  
Z.A. Rahman ◽  
A.A. Mat Isa ◽  
Haydar H. Ali ◽  
M.A. Anuar

Control of a flexible beam such as that in flexible-link robot manipulators in many mechanical devices is very challenging, due in part to its intrinsic nature of unmodelled dynamics in a system. Such a system is said to be subjected to nonholonomic constraints, hence its feedback control is difficult to realize. This paper presents the application of control design based on second-order pole placement and LQR approaches to a single-link flexible robotic arm. In this case, a controller considering the flexibility of highly-flexible arm is employed to suppress the tip vibration of the manipulator. The effectiveness of the method is verified through computer simulations and consequently, the adequateness of the control performance and the feasibility of the system with a super-light link are shown.


2016 ◽  
Vol 37 (2) ◽  
pp. 133-147 ◽  
Author(s):  
Niko Nevaranta ◽  
Stijn Derammelaere ◽  
Jukka Parkkinen ◽  
Bram Vervisch ◽  
Tuomo Lindh ◽  
...  

1994 ◽  
Vol 116 (4) ◽  
pp. 792-795 ◽  
Author(s):  
Kazuhiko Takahashi ◽  
Ichiro Yamada

This paper shows the effectiveness of a neural-network controller for controlling a flexible mechanism such as a flexible robot arm. An adaptive-type direct neural controller is formulated using state-space representation of the dynamics of the target system. The characteristics of the controller are experimentally investigated by using it to control the tip angular position of a single-link flexible arm.


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