Publication detail

Polohové řízení mostového jeřábu v reálném čase

Original Title

Polohové řízení mostového jeřábu v reálném čase

Czech Title

Polohové řízení mostového jeřábu v reálném čase

Language

cs

Original Abstract

One of the problems when a gantry crane is operated is swinding load. Partly is danger for staff and above all markedly drag out traffic times. The paper deal with the position control of gantry crane. The control is realized in open loop, that means without measuring of an actual deviation. We define parameterized shape on time dependence of deviation of load as an input into motion of equation and its solution is time dependence of position of the carriage. Results of optimized choice of parameters of deviation shape for position control are approximated by back-propagation neural network. This algorithm is applied on the laboratory model equipped step motor with satisfying effect.

Czech abstract

One of the problems when a gantry crane is operated is swinding load. Partly is danger for staff and above all markedly drag out traffic times. The paper deal with the position control of gantry crane. The control is realized in open loop, that means without measuring of an actual deviation. We define parameterized shape on time dependence of deviation of load as an input into motion of equation and its solution is time dependence of position of the carriage. Results of optimized choice of parameters of deviation shape for position control are approximated by back-propagation neural network. This algorithm is applied on the laboratory model equipped step motor with satisfying effect.

Documents

BibTex


@inproceedings{BUT10550,
  author="Robert {Grepl} and Čestmír {Ondrůšek}",
  title="Polohové řízení mostového jeřábu v reálném čase",
  annote="One of the problems when a gantry crane is operated is swinding load. Partly is danger for staff and above all markedly drag out traffic times. The paper deal with the position control of gantry crane. The control is realized in open loop, that means without measuring of an actual deviation. We define parameterized shape on time dependence of deviation of load as an input into motion of equation and its solution is time dependence of position of the carriage. Results of optimized choice of parameters of deviation shape for position control are approximated by back-propagation neural network. This algorithm is applied on the laboratory model equipped step motor with satisfying effect.",
  address="VUT v Brně, Centrum pro mechatroniku ÚT AV ČR",
  booktitle="Diagnostika a aktivní řízení 2000",
  chapter="10550",
  institution="VUT v Brně, Centrum pro mechatroniku ÚT AV ČR",
  year="2000",
  month="january",
  pages="15",
  publisher="VUT v Brně, Centrum pro mechatroniku ÚT AV ČR",
  type="conference paper"
}