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MARADA, T.
Originální název
PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Inverted pendulum, Genetic algorithm, Penalty in the objective function, PID controller, ITAE criterion.
Autoři
Vydáno
8. 6. 2016
Místo
Brno
ISSN
1803-3814
Periodikum
Mendel Journal series
Ročník
2016
Číslo
22
Stát
Česká republika
Strany od
31
Strany do
38
Strany počet
8
BibTex
@article{BUT128262, author="Tomáš {Marada}", title="PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION", journal="Mendel Journal series", year="2016", volume="2016", number="22", pages="31--38", issn="1803-3814" }