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Nonlinear DOB-based explicit NMPC for station-keeping of a multi-vectored propeller airship with thrust saturation

Published online by Cambridge University Press:  15 November 2018

Y. Wen ,
L. Chen ,
Y. Wang ,
D. Sun ,
D. Duan  and
J. Liu
Y. Wen
Affiliation:
School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China
L. Chen*
Affiliation:
School of Air Transportation Shanghai University of Engineering Science Shanghai China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China
Y. Wang
Affiliation:
School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China
D. Sun
Affiliation:
School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China
D. Duan
Affiliation:
School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China
J. Liu
Affiliation:
State Key Laboratory of Robotics Shenyang Institute of Automation (SIA) Chinese Academy of Sciences (CAS) Shenyang, PR China
*
chen2006@sjtu.edu.cn
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Abstract

A nonlinear station-keeping control method for a multi-vectored propeller airship under unknown wind field with thrust saturation is developed, which is composed of three modules: nonlinear model predictive controller (NMPC), disturbance observer (DOB) and tracking differentiator (TD). The nonlinear kinematics and dynamics models are introduced, and the wind effect is considered by the wind-induced aerodynamic force. Based on both models, an explicit NMPC is designed. Then a nonlinear DOB is introduced to estimate the wind disturbance. A TD, showing the relationship between the maximum propulsion force and the maximum flight acceleration, is proposed to handle the thrusts’ amplitude saturation. Stability analysis shows that the closed-loop system is globally asymptotically stable. Simulations for a multi-vectored propeller airship are conducted to demonstrate the robustness and effectiveness of the proposed method.

Keywords

Model predictive controldisturbance observertracking differentiatorstation-keepingsaturation
Type
Research Article
Information
The Aeronautical Journal , Volume 122 , Issue 1257 , November 2018 , pp. 1753 - 1774
Copyright
© Royal Aeronautical Society 2018 

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