TELKOMNIKA Telecommunication Computing Electronics and Control
Aircraft pitch control design using LQG controller based on genetic algorithm
Dublin Core
Title
TELKOMNIKA Telecommunication Computing Electronics and Control
Aircraft pitch control design using LQG controller based on genetic algorithm
Aircraft pitch control design using LQG controller based on genetic algorithm
Subject
Aircraft
Autopilot
Genetic algorithm
Longitudinal plane
LQG controller
Pitch control
Autopilot
Genetic algorithm
Longitudinal plane
LQG controller
Pitch control
Description
Designing a robust aircraft control system used to achieve a good tracking
performance and stable dynamic behavior against working disturbances
problem has attracted attention of control engineers. In this paper, a pitch
angle control system for aircraft is designed utilizing liner quadratic
Gaussian (LQG) optimal controller technique with a numerical tuning
algorithm method in the longitudinal plane through cruising stage. Main
design approach of LQG controller includes obtaining best weighting
matrices values using trial and error method that consumes effort and takes
more time, in addition, there is no guarantees to obtain optimum values for
weighting matrices elements. In this research, genetic algorithm (GA) is
used to optimize the state and control weighting matrices and determine best
values for their elements. The proposed traditional and optimized LQG pitch
controller schemes are implemented utilizing Matlab simulation tool and
their performance are presented and compared based on transient and steady
state performance parameters. The simulation results reveal the ability of the
optimized GA_LQG controller to reject the effect of the noises in the aircraft
system dynamic and achieve a good and stable tracking performance
compared with that of the conventional LQG pitch control system.
performance and stable dynamic behavior against working disturbances
problem has attracted attention of control engineers. In this paper, a pitch
angle control system for aircraft is designed utilizing liner quadratic
Gaussian (LQG) optimal controller technique with a numerical tuning
algorithm method in the longitudinal plane through cruising stage. Main
design approach of LQG controller includes obtaining best weighting
matrices values using trial and error method that consumes effort and takes
more time, in addition, there is no guarantees to obtain optimum values for
weighting matrices elements. In this research, genetic algorithm (GA) is
used to optimize the state and control weighting matrices and determine best
values for their elements. The proposed traditional and optimized LQG pitch
controller schemes are implemented utilizing Matlab simulation tool and
their performance are presented and compared based on transient and steady
state performance parameters. The simulation results reveal the ability of the
optimized GA_LQG controller to reject the effect of the noises in the aircraft
system dynamic and achieve a good and stable tracking performance
compared with that of the conventional LQG pitch control system.
Creator
Abdulla I. Abdulla, Ibrahim K. Mohammed
Source
http://telkomnika.uad.ac.id
Date
Oct 26, 2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Abdulla I. Abdulla, Ibrahim K. Mohammed, “TELKOMNIKA Telecommunication Computing Electronics and Control
Aircraft pitch control design using LQG controller based on genetic algorithm,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4487.
Aircraft pitch control design using LQG controller based on genetic algorithm,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4487.