Identification and Control of Nonlinear Laboratory Model Amira DR 300

Abstract:

Article Preview

This article deals with identification and a control design of nonlinear laboratory model Amira DR 300 in a real time. It mentions a mathematical description of the model, its static and dynamical characteristics. Using an experimental method of identification a model has been created, which is suitable for the purpose of simulation testing of non-adaptive as well as adaptive controllers. These were tested as simple adaptive, i.e. non-adaptive controllers, namely in both simulation ways and at a real model control. For the purpose of a non-adaptive control, system parameters were determined by off-line method of the least squares. In an identification part of self-tuning controllers a method of recursive least squares with directional adaptive forgetting factor has been used.

Info:

Periodical:

Edited by:

František Trebuňa

Pages:

284-293

Citation:

P. Navrátil, "Identification and Control of Nonlinear Laboratory Model Amira DR 300", Applied Mechanics and Materials, Vol. 611, pp. 284-293, 2014

Online since:

August 2014

Authors:

Export:

Price:

$41.00

* - Corresponding Author

[1] V. Bobál, J. Böhm, J. Fessl, J. Macháček, Digital Self-tuning Controllers: Algorithms, Implementation and Applications, Springer, London, 2005, 318. ISBN 18-523-3980-2.

[2] Y.D. Landau, Adaptive control: algorithms, analysis and application, Springer, New York, 2011, 587. ISBN 978-0-85729-663-4.

[3] K. Keesman, System identification: an introduction, Springer, New York, 2011, 323. ISBN 978-0-85729-521-7.

[4] J. Mikleš, M. Fikar, Process modelling, identification, and control, Springer, c2007, xxiv, 480 p. ISBN 35-407-1969-5.

[5] R. Isermann, M. Münchhof, Identification of dynamic systems: an introduction with applications, Springer, Berlin, 2011. ISBN 978-3-540-78878-2.

[6] P. Frankovský, D. Hroncová, I. Delyová and I. Virgala, Modeling of Dynamic Systems in Simulation Environment MATLAB/Simulink – SimMechanics, in: American Journal of Mechanical Engineering 1, no. 7, 2013, pp.282-288.

[7] I. Virgala, P. Frankovský, M. Kenderová, Friction Effect Analysis of a DC Motor, in: American Journal of Mechanical Engineering. Vol. 1, no. 1, 2013, pp.1-5.

DOI: https://doi.org/10.12691/ajme-1-1-1