Bank of Kalman Filters for Fault Detection in Quadrotor MAV
Fault Detection and Identification (FDI) is a subfield of control engineering which concerns with self-monitoring system, identifying and pinpointing the type and location of failures. This study proposes the application of Kalman Filter for fault detection in quad rotor type MAV. It begins with t...
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ump-113502018-03-07T02:24:31Z http://umpir.ump.edu.my/id/eprint/11350/ Bank of Kalman Filters for Fault Detection in Quadrotor MAV Pebrianti, Dwi Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Bayuaji, Luhur QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Fault Detection and Identification (FDI) is a subfield of control engineering which concerns with self-monitoring system, identifying and pinpointing the type and location of failures. This study proposes the application of Kalman Filter for fault detection in quad rotor type MAV. It begins with the development of model of quad rotor, based on rigid body dynamic. The bank of Kalman filters consists of six filters that are associated with the total number of the degree of freedom of the quad rotor. The performance of the fault detection is conducted by simulation using Simulink, Matlab. The result shows that the developed bank of Kalman filters has good performance in detecting a sensor failure during a hovering condition 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11350/1/Bank%20of%20Kalman%20Filters%20for%20Fault%20Detection%20in%20Quadrotor%20MAV.pdf Pebrianti, Dwi and Rosdiyana, Samad and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah and Bayuaji, Luhur (2015) Bank of Kalman Filters for Fault Detection in Quadrotor MAV. In: Malaysian Technical Universities Conference On Engineering And Technology (MUCET 2015), 11-13 October 2015 , Johor Bahru. . (Unpublished) |
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QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
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QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Pebrianti, Dwi Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Bayuaji, Luhur Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
description |
Fault Detection and Identification (FDI) is a subfield of control engineering which concerns with self-monitoring
system, identifying and pinpointing the type and location of failures. This study proposes the application of Kalman Filter
for fault detection in quad rotor type MAV. It begins with the development of model of quad rotor, based on rigid body
dynamic. The bank of Kalman filters consists of six filters that are associated with the total number of the degree of
freedom of the quad rotor. The performance of the fault detection is conducted by simulation using Simulink, Matlab. The
result shows that the developed bank of Kalman filters has good performance in detecting a sensor failure during a
hovering condition |
format |
Conference or Workshop Item |
author |
Pebrianti, Dwi Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Bayuaji, Luhur |
author_facet |
Pebrianti, Dwi Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Bayuaji, Luhur |
author_sort |
Pebrianti, Dwi |
title |
Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
title_short |
Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
title_full |
Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
title_fullStr |
Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
title_full_unstemmed |
Bank of Kalman Filters for Fault Detection in Quadrotor MAV |
title_sort |
bank of kalman filters for fault detection in quadrotor mav |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/11350/ http://umpir.ump.edu.my/id/eprint/11350/1/Bank%20of%20Kalman%20Filters%20for%20Fault%20Detection%20in%20Quadrotor%20MAV.pdf |
first_indexed |
2023-09-18T22:11:59Z |
last_indexed |
2023-09-18T22:11:59Z |
_version_ |
1777415088839327744 |