The application of sliding innovation filter as estimation strategy applied to a UAV

Mohammad AlShabi; S. Andrew Gadsden; Bassam Khuwaileh; Khaled Obaideen

doi:10.1117/12.3013946

7 June 2024 The application of sliding innovation filter as estimation strategy applied to a UAV

Mohammad AlShabi, S. Andrew Gadsden, Bassam Khuwaileh, Khaled Obaideen

Proceedings Volume 13055, Unmanned Systems Technology XXVI; 130550P (2024) https://doi.org/10.1117/12.3013946
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

The unmanned aerial vehicle (UAV) and unmanned aerial system (UAS) are popular in nowadays applications including military, industry, weather casting, monitoring, and many other applications. According to several research, the system must be controlled in precise way to make sure that the UAV and UAS are moving in the desired trajectories. However, this task is not an easy task in real life due to the presence of disturbances and noise in feedback measurements. To overcome this issue, researchers either developed more stable controllers, i.e. active disturbance rejection control (ADRC), or they improved the measured signals using filters with more accurate/stable performance. This work belongs to the second category, where a newly developed filter, which is referred to as sliding innovation filter (SIF), is used to estimate the states of a UAV system while it is tracking a target at the same height to improve the quality of the controller.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mohammad AlShabi, S. Andrew Gadsden, Bassam Khuwaileh, and Khaled Obaideen "The application of sliding innovation filter as estimation strategy applied to a UAV", Proc. SPIE 13055, Unmanned Systems Technology XXVI, 130550P (7 June 2024); https://doi.org/10.1117/12.3013946

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