Name: Model-Based Fault Tolerant Control (en Inglés)
Price: 566.91 MXN
Availability: InStock
Author: Kumar, Aditya ; Viassolo, Daniel ; Nasa Technical Reports Server (Ntrs)
ISBN: 9781289145934

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portada Model-Based Fault Tolerant Control (en Inglés)

Formato

Libro Físico

Autor

Nasa Technical Reports Server (Ntrs)

Aditya Kumar

Daniel Viassolo

Editorial

Bibliogov

Idioma

Inglés

N° páginas

102

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.5 cm

Peso

0.20 kg.

ISBN13

9781289145934

Categorías

Política y gobierno

Model-Based Fault Tolerant Control (en Inglés)

Nasa Technical Reports Server (Ntrs) (Autor) · Aditya Kumar (Autor) · Daniel Viassolo (Autor) · Bibliogov · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Model-Based Fault Tolerant Control (en Inglés)"

The Model Based Fault Tolerant Control (MBFTC) task was conducted under the NASA Aviation Safety and Security Program. The goal of MBFTC is to develop and demonstrate real-time strategies to diagnose and accommodate anomalous aircraft engine events such as sensor faults, actuator faults, or turbine gas-path component damage that can lead to in-flight shutdowns, aborted take offs, asymmetric thrust/loss of thrust control, or engine surge/stall events. A suite of model-based fault detection algorithms were developed and evaluated. Based on the performance and maturity of the developed algorithms two approaches were selected for further analysis: (i) multiple-hypothesis testing, and (ii) neural networks; both used residuals from an Extended Kalman Filter to detect the occurrence of the selected faults. A simple fusion algorithm was implemented to combine the results from each algorithm to obtain an overall estimate of the identified fault type and magnitude. The identification of the fault type and magnitude enabled the use of an online fault accommodation strategy to correct for the adverse impact of these faults on engine operability thereby enabling continued engine operation in the presence of these faults. The performance of the fault detection and accommodation algorithm was extensively tested in a simulation environment.