A hydraulic actuator is a system that can provide a large power amplification
in industries and factories.
In this paper, mass lifter hydraulic actuator system to a desired
displacement is designed using optimal control
theory. MPC and LQR controllers are used to design and improve the
performance of the hydraulic actuator. The
hydraulic actuator system is linearized using Taylor series linearization
method and designed using Matlab/Simulink
tool. Comparison of the hydraulic actuator with MPC and LQR controllers
using three desired output displacement
signals (step, sine wave and white noise) is done and simulation results
have been analyzed successfully. For the
desired step input signal, the hydraulic actuator system with MPC
controller lower rise and settling times with small
percentage overshoot as compared to the hydraulic actuator system
with LQR controller and for the desired sine
wave signal, the hydraulic actuator system with MPC controller almost
track the desired sine wave input signal
correctly as compared to the hydraulic actuator system with LQR controller.
While for the desired white noise input
signal, the hydraulic actuator system with MPC controller have tried
to track the desired white noise input signal
with small variation in amplitude as compared to the hydraulic actuator
system with LQR controller. Finally the
comparative simulation results prove the effectiveness of the proposed
hydraulic actuator system with MPC
controller.
:C\:\\Users\\user\\Desktop\\NEW JOURNAL FOR ORCID\\Performance Investigation of Hydraulic Actuator Based Mass Lift System using MPC and LQR Controllers.pdf:PDF
%0 Journal Article
%1 MustefaJibril12020l
%A Mustefa Jibril 1, Messay Tadese 2, Eliyas Alemayehu Tadese 3
%D 2020
%J Researcher Journal
%K (LQR) (MPC), Hydraulic Model actuator, control linear predictive quadratic regulator
%N 7
%P 1-5
%R 10.7537/marsrsj120720.01.
%T Performance Investigation of Hydraulic Actuator Based Mass Lift System
using MPC and LQR Controllers
%V 12
%X A hydraulic actuator is a system that can provide a large power amplification
in industries and factories.
In this paper, mass lifter hydraulic actuator system to a desired
displacement is designed using optimal control
theory. MPC and LQR controllers are used to design and improve the
performance of the hydraulic actuator. The
hydraulic actuator system is linearized using Taylor series linearization
method and designed using Matlab/Simulink
tool. Comparison of the hydraulic actuator with MPC and LQR controllers
using three desired output displacement
signals (step, sine wave and white noise) is done and simulation results
have been analyzed successfully. For the
desired step input signal, the hydraulic actuator system with MPC
controller lower rise and settling times with small
percentage overshoot as compared to the hydraulic actuator system
with LQR controller and for the desired sine
wave signal, the hydraulic actuator system with MPC controller almost
track the desired sine wave input signal
correctly as compared to the hydraulic actuator system with LQR controller.
While for the desired white noise input
signal, the hydraulic actuator system with MPC controller have tried
to track the desired white noise input signal
with small variation in amplitude as compared to the hydraulic actuator
system with LQR controller. Finally the
comparative simulation results prove the effectiveness of the proposed
hydraulic actuator system with MPC
controller.
@article{MustefaJibril12020l,
abstract = {A hydraulic actuator is a system that can provide a large power amplification
in industries and factories.
In this paper, mass lifter hydraulic actuator system to a desired
displacement is designed using optimal control
theory. MPC and LQR controllers are used to design and improve the
performance of the hydraulic actuator. The
hydraulic actuator system is linearized using Taylor series linearization
method and designed using Matlab/Simulink
tool. Comparison of the hydraulic actuator with MPC and LQR controllers
using three desired output displacement
signals (step, sine wave and white noise) is done and simulation results
have been analyzed successfully. For the
desired step input signal, the hydraulic actuator system with MPC
controller lower rise and settling times with small
percentage overshoot as compared to the hydraulic actuator system
with LQR controller and for the desired sine
wave signal, the hydraulic actuator system with MPC controller almost
track the desired sine wave input signal
correctly as compared to the hydraulic actuator system with LQR controller.
While for the desired white noise input
signal, the hydraulic actuator system with MPC controller have tried
to track the desired white noise input signal
with small variation in amplitude as compared to the hydraulic actuator
system with LQR controller. Finally the
comparative simulation results prove the effectiveness of the proposed
hydraulic actuator system with MPC
controller.},
added-at = {2020-09-01T13:57:51.000+0200},
author = {{Mustefa Jibril 1, Messay Tadese 2}, Eliyas Alemayehu Tadese 3},
biburl = {https://www.bibsonomy.org/bibtex/29ac3c5fc38f10f2d5d6c21422919638f/mustefa1981},
doi = {10.7537/marsrsj120720.01.},
file = {:C\:\\Users\\user\\Desktop\\NEW JOURNAL FOR ORCID\\Performance Investigation of Hydraulic Actuator Based Mass Lift System using MPC and LQR Controllers.pdf:PDF},
interhash = {669c2c82537e7c0f0a6a7d4133c5e3c3},
intrahash = {9ac3c5fc38f10f2d5d6c21422919638f},
journal = {Researcher Journal},
keywords = {(LQR) (MPC), Hydraulic Model actuator, control linear predictive quadratic regulator},
month = {July},
number = 7,
owner = {user},
pages = {1-5},
review = {peer reviewed},
timestamp = {2020-09-01T13:58:22.000+0200},
title = {Performance Investigation of Hydraulic Actuator Based Mass Lift System
using MPC and LQR Controllers},
volume = 12,
year = 2020
}