The paper proposes a general friction identification framework for industrial manipulators, including the automatic handling of all the required phases, from data acquisition and processing up to parameters identification. A complete static friction model is used, with the insertion of a rough approximation of the hysteretic behavior of friction; switching to a possible simpler model is also automatically executed when possible. The proposed solution has been implemented in a software module, which has been integrated into the control architecture of an industrial robot, and experimentally tested. The results have shown that a very accurate reconstruction of the actual motor currents is provided, when the friction estimated using the proposed framework is inserted in the robot dynamic model.
Development of a general friction identification framework for industrial manipulators / Indri, Marina; Trapani, Stefano; Lazzero, Ivan. - ELETTRONICO. - (2016), pp. 6859-6866. (Intervento presentato al convegno IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society tenutosi a Florence, Italy nel October 24-27, 2016) [10.1109/IECON.2016.7794017].
Development of a general friction identification framework for industrial manipulators
INDRI, Marina;TRAPANI, STEFANO;LAZZERO, IVAN
2016
Abstract
The paper proposes a general friction identification framework for industrial manipulators, including the automatic handling of all the required phases, from data acquisition and processing up to parameters identification. A complete static friction model is used, with the insertion of a rough approximation of the hysteretic behavior of friction; switching to a possible simpler model is also automatically executed when possible. The proposed solution has been implemented in a software module, which has been integrated into the control architecture of an industrial robot, and experimentally tested. The results have shown that a very accurate reconstruction of the actual motor currents is provided, when the friction estimated using the proposed framework is inserted in the robot dynamic model.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2651077
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