Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle

Shujing Zhang; Qing Fei; Jianjian Liang; Qingbo Geng

doi:10.1109/ICCA.2017.8003165

Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle

Shujing Zhang, Qing Fei, Jianjian Liang, Qingbo Geng

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

In this paper, the modeling and model reference adaptive control (MRAC) for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle (UAV), which is highly unstable during flight, are presented. First, the attitude dynamic models are established. Linearized model for longitudinal attitude in vertical flight mode is given that is used in later derivation of controller as well as for testing the algorithms in simulation. Then, a control law based on the MRAC technique is utilized to stabilize the longitudinal attitude control system with uncertainty. Simulation results show that the MRAC of pitch angle has good trajectory tracking and the designed control law has strong adaptive ability and anti-jamming ability.

Original language	English
Title of host publication	2017 13th IEEE International Conference on Control and Automation, ICCA 2017
Publisher	IEEE Computer Society
Pages	816-821
Number of pages	6
ISBN (Electronic)	9781538626795
DOIs	https://doi.org/10.1109/ICCA.2017.8003165
Publication status	Published - 4 Aug 2017
Event	13th IEEE International Conference on Control and Automation, ICCA 2017 - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: 3 Jul 2017 → 6 Jul 2017

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	13th IEEE International Conference on Control and Automation, ICCA 2017
Country/Territory	Macedonia, The Former Yugoslav Republic of
City	Ohrid
Period	3/07/17 → 6/07/17

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10.1109/ICCA.2017.8003165

Cite this

Zhang, S., Fei, Q., Liang, J., & Geng, Q. (2017). Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle. In 2017 13th IEEE International Conference on Control and Automation, ICCA 2017 (pp. 816-821). Article 8003165 (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA.2017.8003165

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title = "Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle",

abstract = "In this paper, the modeling and model reference adaptive control (MRAC) for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle (UAV), which is highly unstable during flight, are presented. First, the attitude dynamic models are established. Linearized model for longitudinal attitude in vertical flight mode is given that is used in later derivation of controller as well as for testing the algorithms in simulation. Then, a control law based on the MRAC technique is utilized to stabilize the longitudinal attitude control system with uncertainty. Simulation results show that the MRAC of pitch angle has good trajectory tracking and the designed control law has strong adaptive ability and anti-jamming ability.",

author = "Shujing Zhang and Qing Fei and Jianjian Liang and Qingbo Geng",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Conference on Control and Automation, ICCA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",

year = "2017",

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doi = "10.1109/ICCA.2017.8003165",

language = "English",

series = "IEEE International Conference on Control and Automation, ICCA",

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Zhang, S, Fei, Q, Liang, J & Geng, Q 2017, Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle. in 2017 13th IEEE International Conference on Control and Automation, ICCA 2017., 8003165, IEEE International Conference on Control and Automation, ICCA, IEEE Computer Society, pp. 816-821, 13th IEEE International Conference on Control and Automation, ICCA 2017, Ohrid, Macedonia, The Former Yugoslav Republic of, 3/07/17. https://doi.org/10.1109/ICCA.2017.8003165

Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle. / Zhang, Shujing; Fei, Qing; Liang, Jianjian et al.
2017 13th IEEE International Conference on Control and Automation, ICCA 2017. IEEE Computer Society, 2017. p. 816-821 8003165 (IEEE International Conference on Control and Automation, ICCA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle

AU - Zhang, Shujing

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AU - Liang, Jianjian

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PY - 2017/8/4

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N2 - In this paper, the modeling and model reference adaptive control (MRAC) for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle (UAV), which is highly unstable during flight, are presented. First, the attitude dynamic models are established. Linearized model for longitudinal attitude in vertical flight mode is given that is used in later derivation of controller as well as for testing the algorithms in simulation. Then, a control law based on the MRAC technique is utilized to stabilize the longitudinal attitude control system with uncertainty. Simulation results show that the MRAC of pitch angle has good trajectory tracking and the designed control law has strong adaptive ability and anti-jamming ability.

AB - In this paper, the modeling and model reference adaptive control (MRAC) for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle (UAV), which is highly unstable during flight, are presented. First, the attitude dynamic models are established. Linearized model for longitudinal attitude in vertical flight mode is given that is used in later derivation of controller as well as for testing the algorithms in simulation. Then, a control law based on the MRAC technique is utilized to stabilize the longitudinal attitude control system with uncertainty. Simulation results show that the MRAC of pitch angle has good trajectory tracking and the designed control law has strong adaptive ability and anti-jamming ability.

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M3 - Conference contribution

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BT - 2017 13th IEEE International Conference on Control and Automation, ICCA 2017

PB - IEEE Computer Society

T2 - 13th IEEE International Conference on Control and Automation, ICCA 2017

Y2 - 3 July 2017 through 6 July 2017

ER -

Modeling and control for longitudinal attitude of a twin-rotor tail-sitter unmanned aerial vehicle

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