Modeling of Bioinspired Sensors for Flow Separation Detection for Micro Air Vehicles

Belinda A. Batten
John R. Singler, Missouri University of Science and Technology
Benjamin T. Dickinson

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Autonomous micro air vehicle (MAV) flight faces inherent stability challenges. One challenge is controlling flow separation over the airfoil and an autonomous control system for MAV flight may be enhanced with closed loop separation control. In this work, we focus on modeling biologically inspired hair cell sensors for future flow control applications. We model the sensor output and present examples and numerical results.