Szczegóły publikacji

Opis bibliograficzny

Control algorithms for robot manipulator / Agata NAWROCKA, Andrzej KOT, Marcin NAWROCKI // W: Mechatronics, robotics and control / ed. A. Kot. — Switzerland : Trans Tech Publications, cop. 2015. — (Applied Mechanics and Materials ; ISSN 1660-9336 ; vol. 759). — ISBN: 978-3-03835-466-6. — S. 45–50. — Bibliogr. s. 50, Abstr. — Publikacja dostępna online od: 2015-05-18

Autorzy (3)

Słowa kluczowe

control algorithmsrobot manipulatorsimulation testsnon linear objectmathematical model

Dane bibliometryczne

ID BaDAP91887
Data dodania do BaDAP2015-10-07
Tekst źródłowyURL
DOI10.4028/www.scientific.net/AMM.759.45
Rok publikacji2015
Typ publikacjifragment książki
Otwarty dostęptak
Czasopismo/seriaApplied Mechanics and Materials

Abstract

The subject of this work is to develop a control system for the two degree of freedom robot manipulator. Manipulators play an increasingly important role not only in flexible automation production systems but also in medicine and rehabilitation process [3]. High-speed and high-precision trajectory tracking are indispensable capabilities for versatile applications of manipulators. Even in well-known industrial applications manipulators are characterized by structural and / or unstructured uncertainty. Through structural uncertainty we miss a situation in which we have a dynamic model of the object, but because of the uncertainty unknown parameters such as load, inaccuracies in constant torque actuators etc. to create a properly working control system is a difficult issue. In contrast, unstructured uncertainty is related to the unknown of the dynamic model, which may be due to many reasons such as the presence of high-frequency modes of the manipulator, neglected time-delays, nonlinear friction etc. In this case, when the dynamic model of the system is not known a priori (or not available), the system must first be identified, then the control law is developed based on the estimated model [5, [6[7].These problems cause that it is very difficult to find good control system but simple. In this case, the different algorithms for control system of the manipulator was proposed. The first classical PD controller was tested. Next the system design for PD controller with compensation of gravitational forces.

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#89920Data dodania: 17.7.2015
Adaptive control for robot manipulator / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: 12th conference on Active noise and vibration control methods MARDiH : Krakow – Krynica Zdroj, Poland, 08–11 June 2015 : proceedings / ed. Marcin Apostoł ; AGH University of Science and Technology. Faculty of Mechanical Engineering and Robotics. Department of Process Control, Committee on Mechanics of the Polish Academy of Science. — [Kraków] : AGH University of Science and Technology. Department of Process Control, [2015]. — ISBN: 978-83-64755-08-8. — S. 17
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#122169Data dodania: 9.7.2019
Neural network control for robot manipulator / Agata NAWROCKA, Marcin NAWROCKI, Andrzej KOT // W: ICCC 2019 [Dokument elektroniczny] : proceedings of the 2019 20th International Carpathian Control Conference : Kraków – Wieliczka, May 26–29, 2019 / eds. Andrzej Kot, Agata Nawrocka. — Wersja do Windows. — Dane tekstowe. — [Piscataway : IEEE], cop. 2019. — Dysk Flash. — e-ISBN: 978-1-7281-0701-1. — S. [1–4]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4], Abstr. — Publikacja dostępna online od: 2019-07-18. — W bazie Web of Science zakres stron: 799–802