Integrated 3-D Flight Trajectory Tracking Control with Aerodynamic Constraints on Attitude and control Surfaces

Xueyuan Wang, Hao Fang*, Lihua Dou, Jie Chen, Bin Xin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an integrated trajectory tracking control algorithm is proposed to exploit beneficial relationships among interacting subsystems. The high-order aerodynamic model is first transformed into a quasi-strict-feedback form. Then, backstepping technique is utilized to resolve the coupling effect problem of three control channels resulting from the bank-to-turn (BTT) control mode. In addition, command filters are introduced to handle state and actuator constraints caused by the physical limitations and the coordinated turn requirement. Furthermore, the uncertain aerodynamic force and moment coefficients are reconstructed by using the B-spline neural network approximation and adaptive learning approaches. With Lyapunov stability analysis, all the states in the closed-loop system are shown to be semi-globally uniformly ultimately bounded (SUUB), and the tracking errors will asymptotically converge into a small compact set around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)1891-1906
Number of pages16
JournalAsian Journal of Control
Volume20
Issue number5
DOIs
Publication statusPublished - Sept 2018

Keywords

  • B-spline neural network
  • Trajectory tracking
  • backstepping
  • high-order nonlinear system

Fingerprint

Dive into the research topics of 'Integrated 3-D Flight Trajectory Tracking Control with Aerodynamic Constraints on Attitude and control Surfaces'. Together they form a unique fingerprint.

Cite this