DocumentCode :
2381658
Title :
An explorative study of visual servo control with insect-inspired Reichardt-model
Author :
Wu, Haiyan ; Zhang, Tianguang ; Borst, Alexander ; Kühnlenz, Kolja ; Buss, Martin
Author_Institution :
Inst. of Autom. Control Eng. (LSR), Tech. Univ. Munchen, Munich, Germany
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
345
Lastpage :
350
Abstract :
In this paper, an insect-inspired motion detector (Reichardt-model) is applied to visual servo control to ensure the stability of the system with high gain and time delay in its feedback. A Reichardt-based control scheme is compared with a conventional visual servoing approach. As a consequence of the specific velocity dependence of the Reichardt-model, the stability margin of the visual servo control is increased and high overall gains, thus, better performance are achievable. The response of the Reichardt-model in the experiment and the control performance of velocity control approach with the Reichardt-model in the closed loop are investigated. The velocity control model is tested on a 1-DOF linear motor module with different feedback gain and different time delay in the loop. The results of simulation and realtime experiments demonstrate the stabilizing character of the Reichardt-based approach.
Keywords :
biomimetics; closed loop systems; delays; end effectors; feedback; motion control; robot vision; servomechanisms; stability; velocity control; visual servoing; 1-DOF linear motor module; closed loop system; end effector; feedback gain; insect-inspired Reichardt-model; motion detector; stability; time delay; velocity control; visual servo control; visual servoing; Delay effects; Detectors; Feedback; Motion detection; Performance gain; Servosystems; Stability; Testing; Velocity control; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152462
Filename :
5152462
Link To Document :
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