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8 June 2022 A multiple model-based sliding innovation filter and its application on aerospace actuator
Mohammad A. AlShabi, S. Andrew Gadsden
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Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 1212218 (2022) https://doi.org/10.1117/12.2619569
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States
Abstract
In this work, the newly developed filtering technique referred to as the sliding innovation filter (SIF) is combined with multiple model strategies to enhance the performance of the filter when the system changes its structure and/or parameters. This is particularly useful for a system, such as an aerospace system, experiences a fault and continued operation is critical. The proposed method is tested on an aerospace actuator system and the results are discussed.
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Mohammad A. AlShabi and S. Andrew Gadsden "A multiple model-based sliding innovation filter and its application on aerospace actuator", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 1212218 (8 June 2022); https://doi.org/10.1117/12.2619569
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KEYWORDS
Filtering (signal processing)
Control systems
Aerospace engineering
Actuators
Nonlinear filtering
Systems modeling
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