Publication detail

Using HIL Simulation and Genetic Algorithms for Controller Tuning

ZUTH, D.

English title

Using HIL Simulation and Genetic Algorithms for Controller Tuning

Type

journal article in Scopus

Language

en

Original abstract

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.

English abstract

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.

Keywords in English

HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat- lab, Simulation.

Released

08.06.2016

Location

Brno

ISSN

1803-3814

Volume

2016

Number

22

Pages from–to

25–30

Pages count

6

BIBTEX


@article{BUT127813,
  author="Daniel {Zuth},
  title="Using HIL Simulation and Genetic Algorithms for Controller Tuning ",
  year="2016",
  volume="2016",
  number="22",
  month="June",
  pages="25--30",
  address="Brno",
  issn="1803-3814"
}