Publication detail
SOME NOTES ON PID AND STATE-SPACE CONTROLLER TUNING
HANNA, G. MIŠKAŘÍK, K. MATOUŠEK, R.
Czech title
NĚKOLIK POZNÁMKY K PID A STATE-SPACE REGULATORU LADĚNÍ
English title
SOME NOTES ON PID AND STATE-SPACE CONTROLLER TUNING
Type
conference paper
Language
en
Original abstract
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.
Czech abstract
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.
English abstract
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.
Keywords in English
PID, State-Space, Z-N Method, Pole Placement, GA, FMC, ITAE.
RIV year
2014
Released
19.12.2014
Publisher
MAGNANIMITAS
Location
Hradec Králové, Česká Republika
ISBN
978-80-87952-07-8
Book
INTERNATIONAL MASARYK CONFERENCE FOR PH.D. STUDENTS AND YOUNG RESEARCHERS.
Edition number
5
Pages from–to
3430–3437
Pages count
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"
}