PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU120301" target="_blank" >RIV/00216305:26210/16:PU120301 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
Original language description
One of the classical problems in dynamics and control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. A real world example of this inverted pendulum system is the attitude control of a rocket booster at take-off. Inverted pendulum stabilization can be performed through several methods. This paper presents capability of inverted pendulum control by two PID (Proportional, Integration, and Derivative) controllers for its stabilization. A genetic algorithm is used to optimizing different controller’s parameters. Different performance indicators and genetic algorithm were implemented and calculated in MATLAB software. Simulink environment was used to simulate the inverted pendulum nonlinear equations with PID controllers. The results of simulations have been mentioned in the experiments and conclusion.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
2016
Issue of the periodical within the volume
22
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
31-38
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85014912222