System identification and model based controller design is an increasingly important area for UAS research. As UASs are used in more challenging conditions, it is critical to have accurate system identification, controller design, and controller validation for improved aircraft safety. The roll controller of a flying-wing UAS is examined in this paper including aircraft system identification, controller design, and controller validation. This paper also introduces a new procedure for utilizing frequency domain analysis to identify and validate the lateral directional models and roll controller design of a UAS. Good agreement is observed between simulated roll controller performance and UAS flight test results, which showed the effectiveness of the overall system identification and control design practice.
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