Detail publikace

Rapid Development and Implementation of Intelligent Control Algorithms

Originální název

Rapid Development and Implementation of Intelligent Control Algorithms

Anglický název

Rapid Development and Implementation of Intelligent Control Algorithms

Jazyk

en

Originální abstrakt

Modern adaptive control algorithms have reached such complexity that the use of advanced modelling and simulation tools is necessary for their development. However, the transfer of control algorithms from the simulation environment into an implementation in a PLC can be non-trivial and presents an occasion for introducing bugs in the ported program. This paper presents a development method and a framework for unified development of control algorithms so that the final porting becomes a non-issue. It takes advantage of new generation PLCs programmable in ANSI C. This approach is demonstrated on neural-network based control algorithms. The performance of the algorithms in a simulation environment is compared with the real results obtained from their real-time implementations in a PLC.

Anglický abstrakt

Modern adaptive control algorithms have reached such complexity that the use of advanced modelling and simulation tools is necessary for their development. However, the transfer of control algorithms from the simulation environment into an implementation in a PLC can be non-trivial and presents an occasion for introducing bugs in the ported program. This paper presents a development method and a framework for unified development of control algorithms so that the final porting becomes a non-issue. It takes advantage of new generation PLCs programmable in ANSI C. This approach is demonstrated on neural-network based control algorithms. The performance of the algorithms in a simulation environment is compared with the real results obtained from their real-time implementations in a PLC.

BibTex


@inproceedings{BUT15251,
  author="Petr {Pivoňka} and Michal {Schmidt}",
  title="Rapid Development and Implementation of Intelligent Control Algorithms",
  annote="Modern adaptive control algorithms have reached such complexity that the use of advanced modelling and simulation tools is necessary for their development. However, the transfer of control algorithms from the simulation environment into an implementation in a PLC can be non-trivial and presents an occasion for introducing bugs in the ported program. This paper presents a development method and a framework for unified development of control algorithms so that the final porting becomes
a non-issue. It takes advantage of new generation PLCs programmable in ANSI C. This approach is demonstrated on neural-network based control algorithms. The performance of the algorithms in a simulation environment is compared with the real results obtained from their real-time implementations in a PLC.",
  address="R. Hampel",
  booktitle="12th East-West Fuzzy Colloquium",
  chapter="15251",
  institution="R. Hampel",
  year="2005",
  month="september",
  pages="162",
  publisher="R. Hampel",
  type="conference paper"
}