Paper Info
Title
Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions.
Abstract
Stabilizing unmanned aerial vehicles (UAVs) in turbulent conditions is a challenging problem. Typical methods of stabilization do not use feedforward information about the airflow disturbances but only UAV attitude feedback signals, e.g. from an inertial measurement unit. The novel proposal of this work is the development of a feather-inspired sensor and feedforward controller that transforms from sensed turbulent airflow to feedforward control action for improving the stability of the UAV. The feedforward controller was based on fuzzy logic, combined in a feedforward-feedback loop with a standard PID control system. An experimental rig based on a one degree of freedom helicopter plant (elevation only) was developed to evaluate the potential of the sensor and control algorithm. Evaluation results showed reduction of disturbance using the fuzzy feedforward-feedback scheme, under turbulent airflow, versus a classical feedback PID-controlled system.
Year
Venue
Field
2017
Living Machines
Degrees of freedom (statistics),Control theory,Control theory,Simulation,Computer science,Turbulence,Fuzzy logic,Airflow,Inertial measurement unit,Elevation,Feed forward
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Christos Kouppas100.34
Martin J. Pearson221526.34
paul dean341.16
Sean R. Anderson48914.87