Reverse Validation in the Robots Control

Pavol Božek; Elena Pivarčiová; Aleksander Korshunov

doi:10.4028/www.scientific.net/AMM.816.125

Paper Titles

Analytical and Numerical Solution of Large Actuator Deformation
p.96

Using of Air Natural Convection for Cooling of Casks with Spent Nuclear Fuel in Dry Storage System
p.103

Kinematical Analysis of Valve Mechanism Using MSC Adams/View
p.108

Technological System for Weight Measurements in a Logistic Warehouse
p.118

Reverse Validation in the Robots Control
p.125

The Design of Ideal Positioning Servo System
p.132

Kinematics Analysis of the Crank Mechanism Conveyor Using MSC Adams
p.140

Complex Approach to the Proposal for Resistance Temperature Sensor for Media Temperature
p.150

Control Algorithm for the Path Tracking of the Nonholonomic Mobile Robots
p.154

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 816Reverse Validation in the Robots Control

Reverse Validation in the Robots Control

Abstract:

The paper comments on the new possibilities of utilizing the inertial navigation system in robototechnics. It deals with the application of a new inertial measurement system for a robotic workplace calibration. The calibration is necessary so that the simulation model of the production device can adjust to the real geometric conditions.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 816)

Pages:

125-131

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.816.125

Citation:

Cite this paper

Online since:

November 2015

Authors:

Pavol Božek*, Elena Pivarčiová, Aleksander Korshunov

Keywords:

Inertial Navigation System, Operation, Robot

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] I. Abramov, Y. Nikitin, A. Abramov, E. Sosnovich, P. Božek, Control and diagnostic model of brushless DC motor. In: Journal of Electrical Engineering, 2014, vol. 65, no. 5, online, pp.277-282.

DOI: 10.2478/jee-2014-0044

Google Scholar

[2] Y. Nikitin, Diagnostic models of mechatronic modules and analysis techniques. – Proceedings of 2-d International Conference Advances in Mechatronics. – 04-06 December 2007. – Brno, Czech Republic. – 6 p. – ISBN 978-80-7231-314-3.

Google Scholar

[3] M. Soták, Inerciálny navigačný systém v Simulinku (Inertial navigation system in Simulink). Mezinárodní konference Technical Computing Prague (International Conference technical Computing, Prague), 2009, p.93–98.

Google Scholar

[4] A. Mimouni, E. Azzouz, B. Ghemri, Lightninginduced overvoltages on overhead lines: Modelling and experimental validation. In Journal of Electrical Engineering. Vol. 62, No. 3 (2007), ISSN 1335-3632.

Google Scholar

[5] P. Božek, A.I. Korshunov, Advantages of INS control systems. Pardubice : Univerzita Pardubice, 2012In TechMat ´12 s. 151-157. ISBN 978-80-7395-537-3.

Google Scholar

[6] H. R. Bishop, The Mechatronics Handbook, CRC Press, (2006), ISBN 0-8493-0066-5.

Google Scholar

[7] P. Frankovský, D. Hroncová, I. Delyová, I. Virgala, Modeling of Dynamic Systems in Simulation Environment MATLABSimulink – SimMechanics, American Journal of Mechanical Engineering. Vol. 1, no. 7 (2013), pp.282-288. - ISSN 2328-4110.

Google Scholar

[8] W. WEBER, Industrieroboter, HANSER, 2009, ISBN 978-3-446-41031-2.

Google Scholar

[9] V. Molnár, G. Fedorko, P. Michalik, Computer integrated system for static tests of pipe conveyer belts, 4th Balkan Mining Congress, 2011, 657-661, Slovenia, Ljubljana, Velenje Coal Mine, (2011).

Google Scholar

[10] V. Goga, P. Božek, Application of INS to mechatronic systems control and regulation using virtual dynamic models, Piscataway : IEEE, (2013) pp.185-189, ISBN 978-80-227-3951-1.

Google Scholar