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Description
  • This contribution presents a simple and efficient approach to the fuzzy logic controller design and simulation. The proposed controller uses a Sugeno type fuzzy inference system (FIS) which is derived from discrete position state-space controller with an input integrator. The controller design meth-od is based on anfis (adaptive neuro-fuzzy inference system) training rou-tine. It utilizes a combination of the least-squares method and the back-propagation gradient descent method for training FIS membership function parameters to emulate a given training data set. The proposed fuzzy logic controller is used for the position control of a linear actuator which is a part of a Stewart platform.
  • This contribution presents a simple and efficient approach to the fuzzy logic controller design and simulation. The proposed controller uses a Sugeno type fuzzy inference system (FIS) which is derived from discrete position state-space controller with an input integrator. The controller design meth-od is based on anfis (adaptive neuro-fuzzy inference system) training rou-tine. It utilizes a combination of the least-squares method and the back-propagation gradient descent method for training FIS membership function parameters to emulate a given training data set. The proposed fuzzy logic controller is used for the position control of a linear actuator which is a part of a Stewart platform. (en)
Title
  • Design of fuzzy logic controller for DC motor
  • Design of fuzzy logic controller for DC motor (en)
skos:prefLabel
  • Design of fuzzy logic controller for DC motor
  • Design of fuzzy logic controller for DC motor (en)
skos:notation
  • RIV/00216305:26210/11:PU93948!RIV12-MSM-26210___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S, Z(MSM0021630518)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 193574
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/11:PU93948
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  • fuzzy logic, controller (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F790CB6CA69B]
http://linked.open...v/mistoKonaniAkce
  • Varšava
http://linked.open...i/riv/mistoVydani
  • Varšava
http://linked.open...i/riv/nazevZdroje
  • Mechatronics Recent Technological and Scientific Advances
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Březina, Tomáš
  • Andrš, Ondřej
  • Kovář, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-23243-5
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  • 26210
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