A novel, tiltrotor, unmanned aerial vehicle configuration has been designed, and a preliminary dynamic model has been created for control design purposes based on a component buildup approach. This method has been preferred overaconventional stability derivative approach becauseitmodels the nonlinear aircraft dynamicsin the entire flight envelope, ranging from hover to forward-flight conditions at any airflow angles. The flight control system has then been synthesized based on an incremental nonlinear dynamic inversion technique. The incremental strategy was adopted to solve the problem of the nonlinear dynamic model not being control affine due to effector redundancy, dramatic nonlinearities, and cross-coupling effects introduced by the use of thrust vectoring during hover and transition phases. Local control derivatives were calculated online from the dynamic model. Effector redundancywas managed, developingacontrol allocation module for distributing the control effort accordingtoadaisy-chaining logic and according to the actuator availability and effectiveness. The timescale separation principle was applied, dividing control laws into two loops: an outer loop controlling slower dynamics, and outputting virtual controls for an inner loop controlling faster dynamics. Different piloting logics were identified for hover and forward-flight conditions, although the largest possible degreeof commonality was sought.A command blending strategy was devised tocontrol the aircraft during transition phases. Simulations confirmed the effectiveness of the proposed solutions, showing satisfactory tracking of reference inputs with moderate control effort. Copyright © 2015 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Modeling and incremental nonlinear dynamic inversion control of a novel unmanned tiltrotor

MATTEI, Massimiliano
2016

Abstract

A novel, tiltrotor, unmanned aerial vehicle configuration has been designed, and a preliminary dynamic model has been created for control design purposes based on a component buildup approach. This method has been preferred overaconventional stability derivative approach becauseitmodels the nonlinear aircraft dynamicsin the entire flight envelope, ranging from hover to forward-flight conditions at any airflow angles. The flight control system has then been synthesized based on an incremental nonlinear dynamic inversion technique. The incremental strategy was adopted to solve the problem of the nonlinear dynamic model not being control affine due to effector redundancy, dramatic nonlinearities, and cross-coupling effects introduced by the use of thrust vectoring during hover and transition phases. Local control derivatives were calculated online from the dynamic model. Effector redundancywas managed, developingacontrol allocation module for distributing the control effort accordingtoadaisy-chaining logic and according to the actuator availability and effectiveness. The timescale separation principle was applied, dividing control laws into two loops: an outer loop controlling slower dynamics, and outputting virtual controls for an inner loop controlling faster dynamics. Different piloting logics were identified for hover and forward-flight conditions, although the largest possible degreeof commonality was sought.A command blending strategy was devised tocontrol the aircraft during transition phases. Simulations confirmed the effectiveness of the proposed solutions, showing satisfactory tracking of reference inputs with moderate control effort. Copyright © 2015 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/352827
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