Application of Analogue Derivators for Obtaining Direct Non-Measurable Components of the State Vector in Crane Control
By: Grosinger Patrik and Šolek Peter
Abstract
This paper presents a simple-to-use system for estimating non-measurable components of crane state vector considering parameter changes. To obtain them, it is possible to use a numerical derivative, where the measurement noise causes great inaccuracies, or the Luenberger observer and Kalman filter, which require knowledge of the dynamics of the controlled system, which is constantly changing with the crane.
Language: English
Page range: 33 - 44
Published on: Dec 5, 2019
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2019 Grosinger Patrik, Šolek Peter, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.