Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform

The purpose of this article is to evaluate the performances of the three different controllers such as Linear Quadratic Regulator (LQR), 1 DOF (Degree of Freedom) Linear Quadratic Gaussian (LQG) and 2 DOF LQG based on Quadrotor trajectory tracking and control effort. The basic algorithm of these thr...

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Main Authors: Okasha, Mohamed Elsayed Aly Abd Elaziz, Islam, Maidul, Sulaeman, Erwin, Legowo, Ari
Format: Proceeding Paper
Language:English
English
Published: 2018
Subjects:
Online Access:http://irep.iium.edu.my/68747/
http://irep.iium.edu.my/68747/1/68747_Evaluation%20Performance%20of%20Linear%20-program%20book.pdf
http://irep.iium.edu.my/68747/2/68747_Evaluation%20Performance%20of%20Linear%20-slide.pdf
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author Okasha, Mohamed Elsayed Aly Abd Elaziz
Islam, Maidul
Sulaeman, Erwin
Legowo, Ari
author_facet Okasha, Mohamed Elsayed Aly Abd Elaziz
Islam, Maidul
Sulaeman, Erwin
Legowo, Ari
author_sort Okasha, Mohamed Elsayed Aly Abd Elaziz
building IIUM Repository
collection Online Access
description The purpose of this article is to evaluate the performances of the three different controllers such as Linear Quadratic Regulator (LQR), 1 DOF (Degree of Freedom) Linear Quadratic Gaussian (LQG) and 2 DOF LQG based on Quadrotor trajectory tracking and control effort. The basic algorithm of these three controllers are almost same but arrangement of some additional features like integral part and Kalman filter in 1 DOF and 2 DOF LQG make the controllers more robust comparing to LQR. Circular and Helical trajectories have been adopted in order to investigate the performance of the controllers in MATLAB/Simulink environment. Remarkably 2 DOF LQG ensures its highly robust performance when system was considered under noise and disturbances. Root Mean Square Error (RMSE) method is adopted to investigate the tracking performances of the controllers.
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format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:17:50Z
publishDate 2018
recordtype eprints
repository_type Digital Repository
spelling iium-687472019-01-07T03:10:19Z http://irep.iium.edu.my/68747/ Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform Okasha, Mohamed Elsayed Aly Abd Elaziz Islam, Maidul Sulaeman, Erwin Legowo, Ari TL Motor vehicles. Aeronautics. Astronautics The purpose of this article is to evaluate the performances of the three different controllers such as Linear Quadratic Regulator (LQR), 1 DOF (Degree of Freedom) Linear Quadratic Gaussian (LQG) and 2 DOF LQG based on Quadrotor trajectory tracking and control effort. The basic algorithm of these three controllers are almost same but arrangement of some additional features like integral part and Kalman filter in 1 DOF and 2 DOF LQG make the controllers more robust comparing to LQR. Circular and Helical trajectories have been adopted in order to investigate the performance of the controllers in MATLAB/Simulink environment. Remarkably 2 DOF LQG ensures its highly robust performance when system was considered under noise and disturbances. Root Mean Square Error (RMSE) method is adopted to investigate the tracking performances of the controllers. 2018-09-19 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/68747/1/68747_Evaluation%20Performance%20of%20Linear%20-program%20book.pdf application/pdf en http://irep.iium.edu.my/68747/2/68747_Evaluation%20Performance%20of%20Linear%20-slide.pdf Okasha, Mohamed Elsayed Aly Abd Elaziz and Islam, Maidul and Sulaeman, Erwin and Legowo, Ari (2018) Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform. In: 4th International Conference on Mechanical, Automotive, and Aerospace Engineering 2018 (ICMAAE’18), 19th-20th September 2018, Kuala Lumpur. (Unpublished) http://iium.edu.my/icmaae/2018/
spellingShingle TL Motor vehicles. Aeronautics. Astronautics
Okasha, Mohamed Elsayed Aly Abd Elaziz
Islam, Maidul
Sulaeman, Erwin
Legowo, Ari
Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title_full Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title_fullStr Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title_full_unstemmed Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title_short Evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
title_sort evaluation performance of linear quadratic regulator and linear quadratic gaussian controllers on quadrotor platform
topic TL Motor vehicles. Aeronautics. Astronautics
url http://irep.iium.edu.my/68747/
http://irep.iium.edu.my/68747/
http://irep.iium.edu.my/68747/1/68747_Evaluation%20Performance%20of%20Linear%20-program%20book.pdf
http://irep.iium.edu.my/68747/2/68747_Evaluation%20Performance%20of%20Linear%20-slide.pdf