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Robust disturbance estimation for human–robotic comanipulation
Author(s) -
Lichiardopol S.,
Wouw N.,
Nijmeijer H.
Publication year - 2014
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.2963
Subject(s) - robot , control theory (sociology) , estimator , forcing (mathematics) , disturbance (geology) , computer science , robust control , control engineering , control (management) , engineering , artificial intelligence , control system , mathematics , mathematical analysis , paleontology , statistics , electrical engineering , biology
SUMMARY External forces affect the dynamics of load‐carrying robot devices. The knowledge of such disturbances is generally needed for control purposes. However, direct disturbance measurement using force sensors is not always possible. This paper introduces a force estimator for force‐sensor‐less robotic manipulators. The algorithm is based on the knowledge of the dynamics of the robotic device, whereas mass of the load is typically unknown. Using this algorithm, low‐frequency external forces can be estimated robustly even for quasi‐statically time‐varying and uncertain loads. Experiments validate the proposed strategy in practice. Moreover, the applicability of the estimation algorithm is further illustrated by using it in a human–robot comanipulation setup in which the robot is providing additional coordinated forcing to alleviate human effort needed to manipulate the robot. Copyright © 2013 John Wiley & Sons, Ltd.