Detail publikace

Generalized Predictive Control with Adaptive Model Based on Neural Networks

Petr Pivoňka, Petr Nepevný

Originální název

Generalized Predictive Control with Adaptive Model Based on Neural Networks

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it’s advantages and disadvantages are shown.

Klíčová slova

GPC, MPC, predictive, control, adaptive model, Neural Networks

Autoři

Petr Pivoňka, Petr Nepevný

Rok RIV

2005

Vydáno

15. 5. 2005

ISBN

1109-2734

ISSN

1109-2734

Periodikum

WSEAS Transactions on Circuits

Ročník

4

Číslo

4

Stát

Řecká republika

Strany od

385

Strany do

389

Strany počet

5

BibTex

@article{BUT46530,
  author="Petr {Pivoňka} and Petr {Nepevný}",
  title="Generalized Predictive Control with Adaptive Model Based on Neural Networks",
  journal="WSEAS Transactions on Circuits",
  year="2005",
  volume="4",
  number="4",
  pages="5",
  issn="1109-2734"
}