A hierarchical control scheme for multiple aerial vehicle transportation systems with uncertainties and state/input constraints

Yushu Yu*, Chuanbeibei Shi, Dan Shan, Vincenzo Lippiello, Yi Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Multiple aerial vehicles have the potential to transport payload in any direction and with any orientation in Special Euclidean Group. In this article, the control problem of the multiple aerial vehicle transportation system with uncertainties and state/input constraints is considered. The multiple aerial vehicles connect with the load via spherical pairs that coincide with the center of mass of the aerial vehicles. A hierarchical control scheme of such challenging complex systems is proposed. The outer loop is designed by a tube-based model predictive control in order to deal with uncertainties, state constraints and input boundedness, while the inner loop is designed by robust control technique which forces the attitude tracking error of the aircraft into robust invariant set. The attitude tracking error of the inner loop induces a difference between the commanded and the actual equivalent wrench acting on the load. Such difference is treated as the equivalent disturbance of the outer loop to guarantee the fulfillment of the state and input constraints. The hierarchical control structure simplifies the design procedure, while still preserves the convergence and feasibility of the overall controlled system under uncertainties, which are proved strictly in the paper. Numerical simulations on a six-quadrotor transportation system are conducted to demonstrate the performance of the proposed control scheme. A real-world prototype including three quadrotors is developed. The hardware-in-the-loop simulation on the prototype supports the real-time feasibility of the proposed scheme.

Original languageEnglish
Pages (from-to)651-678
Number of pages28
JournalApplied Mathematical Modelling
Volume109
DOIs
Publication statusPublished - Sept 2022

Keywords

  • Attitude tracking error
  • Model predictive control
  • Multiple aerial vehicle transportation
  • Robust invariant set
  • Special Euclidean Group

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