Harmony Search Algorithm with Adaptive Parameters to Optimize the Linear Quadratic Regulator Design

Linear Quadratic Regulator (LQR) is an important control technique with excellent properties associated to robust stability. This technique has been the subject of constant study until the present day, since the problems weighting matrices Q and R are still open, as well as the situations in which t...

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Vydané v:Revista IEEE América Latina Ročník 16; číslo 7; s. 1862 - 1869
Hlavní autori: Nascimento, L.B.P., Pinto, V.P., Amora, M.A.B.
Médium: Journal Article
Jazyk:English
Portuguese
Vydavateľské údaje: Los Alamitos IEEE 01.07.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Adaptation models
Adaptive algorithms
Algorithms
Computer simulation
Control stability
Design optimization
Dispersion
Harmony Search Algorithm
IEEE transactions
Instruments
Intelligent Control
Linear Quadratic Regulator
Military aircraft
Military helicopters
Music
Optimization
Parameters
Regulators
Search algorithms
Synchronous digital hierarchy
ISSN:1548-0992, 1548-0992
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Shrnutí:Linear Quadratic Regulator (LQR) is an important control technique with excellent properties associated to robust stability. This technique has been the subject of constant study until the present day, since the problems weighting matrices Q and R are still open, as well as the situations in which the dynamics is unknown. This work proposes the application of a novel Harmony Search (HS) algorithm to find the Q and R matrices. This algorithm ensures the automatic adjustment of parameters. By adopting the CH-47 helicopter and an inverted pendulum system, several tests involving search and simulations have been performed with two HS algorithms i.e. standard HS and Statistical Dispersion Harmony Search (SDHS). The latter one can be seen as the main contribution of this work, which also compares the results obtained from the algorithms
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2018.8447350