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Distributed event-triggered fixed-time formation and trajectory tracking control for multiple stratospheric airships.

Yifei Zhang1, Ming Zhu2, Tian Chen3

  • 1School of Aeronautic Science and Engineering, PR China.

ISA Transactions
|April 4, 2022
PubMed
Summary

This study introduces an event-triggered controller for stratospheric airship formations, ensuring fixed-time trajectory tracking for leaders and followers. The controller reduces communication and computation while guaranteeing stability and performance.

Keywords:
Distributed formation tracking controlEvent-triggeredFixed-time stabilityNetworked stratospheric airshipsTrajectory tracking control

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Area of Science:

  • Aerospace Engineering
  • Control Systems Theory
  • Robotics

Background:

  • Stratospheric airship formations require robust trajectory tracking for coordinated operations.
  • Existing control methods may face challenges with communication delays and computational load.

Purpose of the Study:

  • To design an event-triggered fixed-time controller for multiple stratospheric airship formation trajectory tracking.
  • To enhance control efficiency by minimizing data transmission and computation.

Main Methods:

  • A backstepping framework is used to design the airship leader trajectory tracking controller (ALTTC).
  • An event-triggered fixed-time airship follower formation tracking controller (AFFTC) is developed.
  • Two event-triggering conditions are implemented to optimize control input and output calculations.

Main Results:

  • The designed controllers ensure trajectory tracking error converges to zero within a fixed time.
  • Event-triggering conditions effectively reduce transmission and calculation times.
  • Fixed-time stability and performance of the closed-loop system are theoretically proven, excluding Zeno behavior.

Conclusions:

  • The proposed event-triggered fixed-time controller effectively achieves trajectory and formation tracking for stratospheric airships.
  • The asynchronous event-triggering mechanism enhances control system efficiency.
  • Simulation results validate the controller's effectiveness and performance.