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Black-Box System Identification for Low-Cost Quadrotor Attitude at Hovering

Published 1 Aug 2023 in eess.SY, cs.RO, cs.SY, eess.SP, and math.DS | (2308.00723v1)

Abstract: The accuracy of dynamic modelling of unmanned aerial vehicles, specifically quadrotors, is gaining importance since strict conditionalities are imposed on rotorcraft control. The system identification plays a crucial role as an effective approach for the problem of the fine-tuning dynamic models for applications such control system design and as handling quality evaluation. This paper focuses on black-box identification, describing the quadrotor dynamics based on experimental setup through sensor preparation for data collection, modelling, control design, and verification stages.

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