Detail publikace

NĚKOLIK POZNÁMKY K PID A STATE-SPACE REGULATORU LADĚNÍ

HANNA, G. MIŠKAŘÍK, K. MATOUŠEK, R.

Český název

NĚKOLIK POZNÁMKY K PID A STATE-SPACE REGULATORU LADĚNÍ

Anglický název

SOME NOTES ON PID AND STATE-SPACE CONTROLLER TUNING

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

Different kinds of controllers can be used for industrial control systems. The most common are PID and State-Space Controllers. This paper presents the implementation of two optimization-based techniques for controller parameter tuning. The first method is classical gradient based algorithm implemented in Matlab function fmincon (FMC). Second one is Genetic Algorithm (GA) which represents optimization metaheuristics. The controller design is applied to own high order systems. The performance of these techniques is evaluated by objective function based on integration of error in time (ITAE) and next one objective function with penalty which eliminated overshot response of the close loop systems. The performance of the PID, and State-Space controller systems designed using FMC and GA methods are also compared respectively with Ziegler-Nichols (Z-N) and Pole Placement methods.

Český abstrakt

Different kinds of controllers can be used for industrial control systems. The most common are PID and State-Space Controllers. This paper presents the implementation of two optimization-based techniques for controller parameter tuning. The first method is classical gradient based algorithm implemented in Matlab function fmincon (FMC). Second one is Genetic Algorithm (GA) which represents optimization metaheuristics. The controller design is applied to own high order systems. The performance of these techniques is evaluated by objective function based on integration of error in time (ITAE) and next one objective function with penalty which eliminated overshot response of the close loop systems. The performance of the PID, and State-Space controller systems designed using FMC and GA methods are also compared respectively with Ziegler-Nichols (Z-N) and Pole Placement methods.

Anglický abstrakt

Different kinds of controllers can be used for industrial control systems. The most common are PID and State-Space Controllers. This paper presents the implementation of two optimization-based techniques for controller parameter tuning. The first method is classical gradient based algorithm implemented in Matlab function fmincon (FMC). Second one is Genetic Algorithm (GA) which represents optimization metaheuristics. The controller design is applied to own high order systems. The performance of these techniques is evaluated by objective function based on integration of error in time (ITAE) and next one objective function with penalty which eliminated overshot response of the close loop systems. The performance of the PID, and State-Space controller systems designed using FMC and GA methods are also compared respectively with Ziegler-Nichols (Z-N) and Pole Placement methods.

Klíčová slova anglicky

PID, State-Space, Z-N Method, Pole Placement, GA, FMC, ITAE.

Rok RIV

2014

Vydáno

19.12.2014

Nakladatel

MAGNANIMITAS

Místo

Hradec Králové, Česká Republika

ISBN

978-80-87952-07-8

Kniha

INTERNATIONAL MASARYK CONFERENCE FOR PH.D. STUDENTS AND YOUNG RESEARCHERS.

Číslo edice

5

Strany od–do

3430–3437

Počet stran

8

BIBTEX


@inproceedings{BUT112172,
  author="George {Hanna} and Kamil {Miškařík} and Radomil {Matoušek},
  title="SOME NOTES ON PID AND STATE-SPACE CONTROLLER TUNING",
  booktitle="INTERNATIONAL MASARYK CONFERENCE FOR PH.D. STUDENTS AND YOUNG RESEARCHERS.",
  year="2014",
  month="December",
  pages="3430--3437",
  publisher="MAGNANIMITAS",
  address="Hradec Králové, Česká Republika ",
  isbn="978-80-87952-07-8"
}