Detail publikace

Using HIL Simulation and Genetic Algorithms for Controller Tuning

ZUTH, D.

Originální název

Using HIL Simulation and Genetic Algorithms for Controller Tuning

Anglický název

Using HIL Simulation and Genetic Algorithms for Controller Tuning

Jazyk

en

Originální abstrakt

This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.

Anglický abstrakt

This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.

Dokumenty

BibTex


@article{BUT127813,
  author="Daniel {Zuth}",
  title="Using HIL Simulation and Genetic Algorithms for Controller Tuning",
  annote="This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in
Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of
endless repetition of regulation without straining the real system. This paper will compare several algorithms
for an automatic adjustment of parameters of the real controller. The system is numerically simulated in
MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In
addition to send an information about the system, it is also possible to send controller setup parameters from
Matlab and repeat the simulation with dierent parameters. Matlab also evaluates the quality of regulation and
uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the
parameters of a real controller without the user interaction.",
  chapter="127813",
  howpublished="print",
  number="22",
  volume="2016",
  year="2016",
  month="june",
  pages="25--30",
  type="journal article in Scopus"
}