Heading Deviation Correction and Stability Augmentation Control for Small UAV Taxiing

Jie Guo; Zhen Li; Tian Yue Chen; Zhen Chang Liu; Sheng Jing Tang

doi:10.15918/j.tbit1001-0645.2017.12.014

Heading Deviation Correction and Stability Augmentation Control for Small UAV Taxiing

Jie Guo, Zhen Li, Tian Yue Chen, Zhen Chang Liu, Sheng Jing Tang

宇航学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

To solve the taxiing rollover problem which is likely to happen during deviation correction for small UAV, a mathematical model of UAV taxiing was established to analyze the cause of rollover. A fuzzy logic controller was designed for correcting the heading deviation, which provided synergetic controlling of nose wheel, elevator and aileronto improve the taxiing stability of UAV. The fuzzy-PID control system based on ACO (ant colony algorithm) was designed to optimize PID parameters offline and adjust PID parameters online. The simulation and experiments results show that the control system can correct the heading deviation effectively, and increase the taxiing stability of small UAV.

源语言	英语
页（从-至）	1287-1294
页数	8
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	37
期	12
DOI	https://doi.org/10.15918/j.tbit1001-0645.2017.12.014
出版状态	已出版 - 1 12月 2017

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Guo, J., Li, Z., Chen, T. Y., Liu, Z. C., & Tang, S. J. (2017). Heading Deviation Correction and Stability Augmentation Control for Small UAV Taxiing. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 37(12), 1287-1294. https://doi.org/10.15918/j.tbit1001-0645.2017.12.014

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title = "Heading Deviation Correction and Stability Augmentation Control for Small UAV Taxiing",

abstract = "To solve the taxiing rollover problem which is likely to happen during deviation correction for small UAV, a mathematical model of UAV taxiing was established to analyze the cause of rollover. A fuzzy logic controller was designed for correcting the heading deviation, which provided synergetic controlling of nose wheel, elevator and aileronto improve the taxiing stability of UAV. The fuzzy-PID control system based on ACO (ant colony algorithm) was designed to optimize PID parameters offline and adjust PID parameters online. The simulation and experiments results show that the control system can correct the heading deviation effectively, and increase the taxiing stability of small UAV.",

keywords = "Ant colony algorithm, Fuzzy logic control, Heading deviation correction and stability augmentation control, Taxiing experiments, UAV taxiing model",

author = "Jie Guo and Zhen Li and Chen, {Tian Yue} and Liu, {Zhen Chang} and Tang, {Sheng Jing}",

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AU - Guo, Jie

AU - Li, Zhen

AU - Chen, Tian Yue

AU - Liu, Zhen Chang

AU - Tang, Sheng Jing

PY - 2017/12/1

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AB - To solve the taxiing rollover problem which is likely to happen during deviation correction for small UAV, a mathematical model of UAV taxiing was established to analyze the cause of rollover. A fuzzy logic controller was designed for correcting the heading deviation, which provided synergetic controlling of nose wheel, elevator and aileronto improve the taxiing stability of UAV. The fuzzy-PID control system based on ACO (ant colony algorithm) was designed to optimize PID parameters offline and adjust PID parameters online. The simulation and experiments results show that the control system can correct the heading deviation effectively, and increase the taxiing stability of small UAV.

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Heading Deviation Correction and Stability Augmentation Control for Small UAV Taxiing

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