| || Novel Redundant Sensor Fault Detection and Accommodation Algorithm for an Air-breathing Combustion System and its Real-time Implementation
Author : Walambe, Rahee;Gupta, Nitin K;Bhange, Niteen
Source : Defence Science Journal ; Vol:60(1) ; 2010 ; pp 061-075
Subject : 681.586 Sensors;Defence Science Journal
Keywords : Extended Kalman filter;analytical redundancy;air-breathing combustion systems;ACS;fault detection and accommodation;FDA
Abstract : Failure of sensors used to provide a feedback signal in control system can cause serious deterioration in performance of system, and even instability may be observed. Based on knowledge of aircraft engine systems, the main cause of fault in such air-breathing combustion systems (ACS) with no rotating parts is due to the pressure sensors. Fast online detection of faults before the error grows very large and accommodation is critical to the success of the mission. However, at the same time, it is necessary to avoid false alarms. Hence, early detection of small magnitude faults with acceptable reliability is very challenging, especially in the presence of sensor noise, unknown engine-to-engine variation and deterioration and modeling uncertainty. This paper discusses the novel fault detection and accommodation (FDA) algorithm based on analytical redundancy based technique for ACS.