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rdf:type
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Description
| - This paper deals with the implementation of artificial neural network in control of DC drive. In the contribution three control systems are discussed. The first is a direct inverse control and the second is neural feedforward control with PID controller.The last of them contains a conventional PID controller for future comparison of presented control systems. The DC drives were simulated in program MATLAB with Simulink toolbox and Neural network based control system design toolkit. The main goal of the work was to find the simplest neural networks structures with minimum number of neurons, but simultaneously good regulation characteristics are required. Artificial neural networks are mainly used for complicated systems and processes, which are very di fficult to control, therefore variable-speed regulation structures without current controller are considered.
- This paper deals with the implementation of artificial neural network in control of DC drive. In the contribution three control systems are discussed. The first is a direct inverse control and the second is neural feedforward control with PID controller.The last of them contains a conventional PID controller for future comparison of presented control systems. The DC drives were simulated in program MATLAB with Simulink toolbox and Neural network based control system design toolkit. The main goal of the work was to find the simplest neural networks structures with minimum number of neurons, but simultaneously good regulation characteristics are required. Artificial neural networks are mainly used for complicated systems and processes, which are very di fficult to control, therefore variable-speed regulation structures without current controller are considered. (en)
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Title
| - Various control systems of DC drive using artificial neural networks
- Various control systems of DC drive using artificial neural networks (en)
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skos:prefLabel
| - Various control systems of DC drive using artificial neural networks
- Various control systems of DC drive using artificial neural networks (en)
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skos:notation
| - RIV/61989100:27240/01:00000909!RIV/2002/MSM/272402/N
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27240/01:00000909
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Control system, DC drive, artificial neural network (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - sborník konference IWCIT 01
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...ocetUcastnikuAkce
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http://linked.open...nichUcastnikuAkce
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Brandštetter, Pavel
- Kuchař, Martin
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Vysoká škola báňská - Technická univerzita Ostrava
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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