NDLI: Non-linear model predictive control for guidance of a fixed-wing UAV in precision deep stall landing

Content Provider	IEEE Xplore Digital Library
Author	Mathisen, S.H. Fossen, T.I. Johansen, T.A.
Copyright Year	2015
Description	Author affiliation: Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol. (NTNU), Trondheim, Norway (Mathisen, S.H.; Fossen, T.I.; Johansen, T.A.)
Abstract	In order to achieve a high degree of operational flexibility, it is often required to recover small UAVs without infrastructure such as a runway. To help overcome this difficulty, deep stall landing can be used as a landing method on small space. The UAV is in a deep stall when the angle of attack is beyond the stall angle, and the condition causes the UAV to loose height rapidly. In the post-stall phase the angle of attack is controlled and the UAV can land with relatively low speed. In this article we focus on the highly non-linear longitudinal dynamics, and employ a non-linear model predictive control (MPC) to find a control sequence to guide a model of a fixed-wing UAV into a deep stall to land at a given location and given path angle with minimum speed.
Starting Page	356
Ending Page	365
File Size	229061
Page Count	10
File Format	PDF
e-ISBN	9781479960101
DOI	10.1109/ICUAS.2015.7152310
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MPC Limiting Multiple Shooting Aerodynamics UAV Landing Optimization Drag Optimal control Deep Stall Mathematical model Optimal Control Predictive control
Content Type	Text
Resource Type	Article

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