2010•Unpublished venueRequires access

A multifunctional HIL testbed for multirotor VTOL UAV actuator

Corentin Chéron, Aaron A. Dennis, Vardan Semerjyan, YangQuan Chen

Open publisher page 28 citations

Abstract

Application driven multirotor UAV design becomes an emerging challenge as missions' needs require improved performance. In this paper, a multifunctional identification and control testbed for UAV actuators is introduced. Brushless controllers, motors and propeller pairs need to be chosen precisely to achieve optimal performance. Accurate identification of intrinsic parameters of those actuators and their comparison allow the engineer to decide between choosing existing parts or designing their own. Furthermore, we introduce a real-time MATLAB interface that allows to reduce implementation time when developing brushless motors control algorithms.

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What this paper is about

Application driven multirotor UAV design becomes an emerging challenge as missions' needs require improved performance. In this paper, a multifunctional identification and control testbed for UAV actuators is introduced. Brushless controllers, motors and propeller pairs need to be chosen precisely to achieve optimal performance. Accurate identification of intrinsic parameters of those actuators and their comparison allow the engineer to decide between choosing existing parts or designing their own. Furthermore, we introduce a real-time MATLAB interface that allows to reduce implementation time when developing brushless motors control algorithms.

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OpenAlex reports 28 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Application driven multirotor UAV design becomes an emerging challenge as missions' needs require improved performance. In this paper, a multifunctional identification and control testbed for UAV actuators is introduced. Brushless controllers, motors and propeller pairs need to be chosen precisely to achieve optimal performance. Accurate identification of intrinsic parameters of those actuators and their comparison allow the engineer to decide between choosing existing parts or designing their own. Furthermore, we introduce a real-time MATLAB interface that allows to reduce implementation time when developing brushless motors control algorithms.

Key concepts: Testbed, Multirotor, Actuator, Propeller, Computer science, MATLAB, Control engineering, Identification (biology)

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