On nonlinear dynamics and control of a robotic arm with chaos

In this paper a robotic arm is modelled by a double pendulum excited in its base by a DC motor of limited power via crank mechanism and elastic connector. In the mathematical model, a chaotic motion was identified, for a wide range of parameters. Controlling of the chaotic behaviour of the system,...

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Main Authors: Felix J. L. P., Silva E. L., Balthazar J. M., Tusset A. M., Bueno A. M., Brasil R. M. L. R. F.
Format: Article
Language:English
Published: EDP Sciences 2014-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20141605002
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spelling doaj-55100b76784e4cd58132f37d3cf263c12021-04-02T10:29:38ZengEDP SciencesMATEC Web of Conferences2261-236X2014-01-01160500210.1051/matecconf/20141605002matecconf_csndd2014_05002On nonlinear dynamics and control of a robotic arm with chaosFelix J. L. P.0Silva E. L.1Balthazar J. M.2Tusset A. M.3Bueno A. M.4Brasil R. M. L. R. F.5UNIPAMPAUNIPAMPAUFABCUTFPRUNESPUFABC In this paper a robotic arm is modelled by a double pendulum excited in its base by a DC motor of limited power via crank mechanism and elastic connector. In the mathematical model, a chaotic motion was identified, for a wide range of parameters. Controlling of the chaotic behaviour of the system, were implemented using, two control techniques, the nonlinear saturation control (NSC) and the optimal linear feedback control (OLFC). The actuator and sensor of the device are allowed in the pivot and joints of the double pendulum. The nonlinear saturation control (NSC) is based in the order second differential equations and its action in the pivot/joint of the robotic arm is through of quadratic nonlinearities feedback signals. The optimal linear feedback control (OLFC) involves the application of two control signals, a nonlinear feedforward control to maintain the controlled system to a desired periodic orbit, and control a feedback control to bring the trajectory of the system to the desired orbit. Simulation results, including of uncertainties show the feasibility of the both methods, for chaos control of the considered system. http://dx.doi.org/10.1051/matecconf/20141605002
collection DOAJ
language English
format Article
sources DOAJ
author Felix J. L. P.
Silva E. L.
Balthazar J. M.
Tusset A. M.
Bueno A. M.
Brasil R. M. L. R. F.
spellingShingle Felix J. L. P.
Silva E. L.
Balthazar J. M.
Tusset A. M.
Bueno A. M.
Brasil R. M. L. R. F.
On nonlinear dynamics and control of a robotic arm with chaos
MATEC Web of Conferences
author_facet Felix J. L. P.
Silva E. L.
Balthazar J. M.
Tusset A. M.
Bueno A. M.
Brasil R. M. L. R. F.
author_sort Felix J. L. P.
title On nonlinear dynamics and control of a robotic arm with chaos
title_short On nonlinear dynamics and control of a robotic arm with chaos
title_full On nonlinear dynamics and control of a robotic arm with chaos
title_fullStr On nonlinear dynamics and control of a robotic arm with chaos
title_full_unstemmed On nonlinear dynamics and control of a robotic arm with chaos
title_sort on nonlinear dynamics and control of a robotic arm with chaos
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2014-01-01
description In this paper a robotic arm is modelled by a double pendulum excited in its base by a DC motor of limited power via crank mechanism and elastic connector. In the mathematical model, a chaotic motion was identified, for a wide range of parameters. Controlling of the chaotic behaviour of the system, were implemented using, two control techniques, the nonlinear saturation control (NSC) and the optimal linear feedback control (OLFC). The actuator and sensor of the device are allowed in the pivot and joints of the double pendulum. The nonlinear saturation control (NSC) is based in the order second differential equations and its action in the pivot/joint of the robotic arm is through of quadratic nonlinearities feedback signals. The optimal linear feedback control (OLFC) involves the application of two control signals, a nonlinear feedforward control to maintain the controlled system to a desired periodic orbit, and control a feedback control to bring the trajectory of the system to the desired orbit. Simulation results, including of uncertainties show the feasibility of the both methods, for chaos control of the considered system.
url http://dx.doi.org/10.1051/matecconf/20141605002
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