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Title: Tracking control of small-scale helicopters using explicit nonlinear MPC augmented with disturbance observers
Authors: Liu, Cunjia
Chen, Wen-Hua
Andrews, J.D.
Keywords: Model predictive control
Disturbance observer
Trajectory tracking
Helicopter
Flight test
Issue Date: 2012
Publisher: © Elsevier
Citation: LIU, C., CHEN, W-H and ANDREWS, J.D., 2012. Tracking control of small-scale helicopters using explicit nonlinear MPC augmented with disturbance observers. Control Engineering Practice, 20 (3), pp. 258 - 268
Abstract: Small-scale helicopters are very attractive for a wide range of civilian and military applications due to their unique features. However, the autonomous flight for small helicopters is quite challenging because they are naturally unstable, have strong nonlinearities and couplings, and are very susceptible to wind and small structural variations. A nonlinear optimal control scheme is proposed to address these issues. It consists of a nonlinear model predictive controller (MPC) and a nonlinear disturbance observer. First, an analytical solution of the MPC is developed based on the nominal model under the assumption that all disturbances are measurable. Then, a nonlinear disturbance observer is designed to estimate the influence of the external force/torque introduced by wind turbulences, unmodelled dynamics and variations of the helicopter dynamics. The global asymptotic stability of the composite controller has been established through stability analysis. Flight tests including hovering under wind gust and performing very challenging pirouette have been carried out to demonstrate the performance of the proposed control scheme.
Description: This article was published in the journal Control Engineering Practice [© Elsevier]. The definitive version is available at: http://dx.doi.org/10.1016/j.conengprac.2011.10.015
Version: Submitted for publication
DOI: 10.1016/j.conengprac.2011.10.015
URI: https://dspace.lboro.ac.uk/2134/11130
Publisher Link: http://dx.doi.org/10.1016/j.conengprac.2011.10.015
ISSN: 0967-0661
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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