Joint Kalman Filtering and Recursive Maximum Likelihood Estimation Approaches to Fault Detection and Identification of Boeing 747 Sensors and Actuators

2013 ◽  
Author(s):  
Faegheh Amirarfaei ◽  
Amir Baniamerian ◽  
K. Khorasani
Keyword(s):  
Maximum Likelihood ◽  
Fault Detection ◽  
Maximum Likelihood Estimation ◽  
Kalman Filtering ◽  
Likelihood Estimation ◽  
Sensors And Actuators ◽  
Detection And Identification ◽  
Fault Detection And Identification

A Simaplied Adaptive Kalman Filtering Algorithm

2014 ◽  
Vol 1037 ◽  
pp. 378-382
Author(s):  
Lei Bo ◽  
Xin Yan Zhu
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Unmanned Aerial Vehicle ◽  
Kalman Filtering ◽  
Likelihood Estimation ◽  
Simplified Model ◽  
Filtering Algorithm ◽  
Aerial Vehicle ◽  
Kalman Filtering Algorithm ◽  
The Moment

The adaptive Kalman filtering algorithm was adopted in the online estimate of navigation state of unmanned aerial vehicle (UAV) as the simplified model often used. At the moment, the alogorithms those usually applied in this territory are not perfect. Analysed the adaptive Kalman filtering based on Maximum-Likelihood Estimation and Sage-Husa Kalman filtering, take advantage the characteristics of residue, choose the estimation windows, a simplified adaptive Kalman filtering algorithm was gived.

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