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Aerospace 2019, 6(3), 38; https://doi.org/10.3390/aerospace6030038

Non-Linear Dynamic Inversion Control Design for Rotorcraft

Department of Aerospace Engineering, The Pennsylvania State University, University Park, PA 16802, USA
Received: 12 February 2019 / Revised: 10 March 2019 / Accepted: 11 March 2019 / Published: 18 March 2019
(This article belongs to the Special Issue Rotorcraft)
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Abstract

Flight control design for rotorcraft is challenging due to high-order dynamics, cross-coupling effects, and inherent instability of the flight dynamics. Dynamic inversion design offers a desirable solution to rotorcraft flight control as it effectively decouples the plant model and effectively handles non-linearity. However, the method has limitations for rotorcraft due to the requirement for full-state feedback and issues with non-minimum phase zeros. A control design study is performed using dynamic inversion with reduced order models of the rotorcraft dynamics, which alleviates the full-state feedback requirement. The design is analyzed using full order linear analysis and non-linear simulations of a utility helicopter. Simulation results show desired command tracking when the controller is applied to the full-order system. Classical stability margin analysis is used to achieve desired tradeoffs in robust stability and disturbance rejection. Results indicate the feasibility of applying dynamic inversion to rotorcraft control design, as long as full order linear analysis is applied to ensure stability and adequate modelling of low-frequency dynamics. View Full-Text
Keywords: rotorcraft flight control; dynamic inversion; rotorcraft handling qualities rotorcraft flight control; dynamic inversion; rotorcraft handling qualities
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Horn, J.F. Non-Linear Dynamic Inversion Control Design for Rotorcraft. Aerospace 2019, 6, 38.

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