Model Predictive Control for Quadcopters With Almost Global Trajectory Tracking Guarantees
成果类型:
Article
署名作者:
Andrien, A. R. P.; Lefeber, E.; Antunes, D. J.; Heemels, W. P. M. H.
署名单位:
Eindhoven University of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3349098
发表日期:
2024
页码:
5216-5230
关键词:
Quadrotors
trajectory
aerodynamics
asymptotic stability
predictive models
drag
CONVERGENCE
Global stability
model predictive control (MPC)
quadcopters
Trajectory tracking
摘要:
This article provides a new method for trajectory tracking for quadcopters following a cascaded control approach with formal closed-loop tracking guarantees. An outer-loop model predictive controller generates twice differentiable acceleration references, which provide attitude, angular velocity, and acceleration references for a nonlinear inner-loop controller. The model predictive controller allows for tracking of references while explicitly considering that the thrust of the quadcopter is upper and lower limited. It is proven that the overall strategy renders the trajectory tracking errors uniformly almost globally asymptotically stable. Via a numerical case study, the advantages of the novel method are highlighted.
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