Influence of State Space Topology on Parameter Identification Based on PSO Method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F16%3A00532960" target="_blank" >RIV/60162694:G43__/16:00532960 - isvavai.cz</a>

Výsledek na webu

<a href="http://aimt.unob.cz/articles/16_01/1101.pdf" target="_blank" >http://aimt.unob.cz/articles/16_01/1101.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Influence of State Space Topology on Parameter Identification Based on PSO Method

Popis výsledku v původním jazyce

Motion control of electromechanical systems still plays a very important role in a wide area of weapon systems. Modern control systems use not only data from various sensors, but also state parameters of controlled system. The article explores the influence of state space topology on parameter identification of real simple electromechanical system based on the Particle Swarm Optimization (PSO) method. Four different but equivalent mathematical models of the second order were used to create different state spaces of the system parameters. A general recommendation for the PSO method setup and two independent program tools were applied to evaluate the state space searching by the PSO method. The PSO simulations were focused on both narrow and wide state spaces around the fitness function global minimum. A novel approach to set the PSO method initial agents' positions has been introduced since the traditional random uniform distribution failed when wide state spaces were used.

Název v anglickém jazyce

Influence of State Space Topology on Parameter Identification Based on PSO Method

Popis výsledku anglicky

Motion control of electromechanical systems still plays a very important role in a wide area of weapon systems. Modern control systems use not only data from various sensors, but also state parameters of controlled system. The article explores the influence of state space topology on parameter identification of real simple electromechanical system based on the Particle Swarm Optimization (PSO) method. Four different but equivalent mathematical models of the second order were used to create different state spaces of the system parameters. A general recommendation for the PSO method setup and two independent program tools were applied to evaluate the state space searching by the PSO method. The PSO simulations were focused on both narrow and wide state spaces around the fitness function global minimum. A novel approach to set the PSO method initial agents' positions has been introduced since the traditional random uniform distribution failed when wide state spaces were used.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

KA - Vojenství

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advances in Military Technology

ISSN

1802-2308

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

43-52

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—