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A force observation method for tracking control of flexible-link manipulators

Published online by Cambridge University Press:  30 November 2012

S. Farokh Atashzar ,
M. Shahbazi ,
H. A. Talebi  and
F. Towhidkhah
S. Farokh Atashzar
Affiliation:
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
M. Shahbazi
Affiliation:
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
H. A. Talebi*
Affiliation:
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
F. Towhidkhah
Affiliation:
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
*
*Corresponding author. E-mail: alit@aut.ac.ir
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Summary

In this paper, a composite controller is proposed for single-link flexible manipulators exposed to external tip force disturbances. In the proposed scheme, the extended Kalman filter is utilized to observe the environmental forces and the Lyapunov redesign robust controller is applied to control the destabilizing effect of the observation errors in noisy situations. The observed force can be utilized in different applications (such as tele-surgical robotics) in order to eliminate the necessity of additional force sensors. This fact is important for structural miniaturization and cost reduction. The main contributions of this paper are (1) proposing a disturbance observation technique for in-contact flexible link manipulators (note that the challenge of Jacobian singularity is studied as a possible diverging factor of the observation) and (2) proposing the composite robust controller to eliminate the destabilizing effect of estimation errors. The advantages of the proposed control scheme over the conventional techniques are analyzed. Simulation results are given for a single-link flexible manipulator to illustrate the effectiveness of the composite control technique and experimental results are given to validate the performance of the observation method.

Keywords

Flexible link manipulatorForce observerExtended Kalman filterNon-minimum phase systems
Type
Articles
Information
Robotica , Volume 31 , Issue 4 , July 2013 , pp. 669 - 677
Copyright
Copyright © Cambridge University Press 2012 

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