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Global Fast Terminal Sliding Mode Control for Trajectory Tracking Control of Quadrotor UAVs.

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Summary

Global Fast Terminal Sliding Mode Control (GFTSMC) enhances unmanned aerial vehicle (UAV) trajectory tracking. This advanced control method offers faster response and superior disturbance rejection compared to PID and conventional sliding mode control, improving mission efficiency.

Keywords:
disturbance rejectionquadrotor UAVrapidityterminal sliding modetrajectory tracking

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Aerospace Engineering

Background:

  • Traditional Proportional-Integral-Derivative (PID) and Sliding Mode Control (SMC) methods exhibit limitations in speed and disturbance rejection for Unmanned Aerial Vehicle (UAV) trajectory tracking.
  • Efficient UAV operations, particularly in demanding missions, necessitate advanced flight control systems with enhanced stability and responsiveness.

Purpose of the Study:

  • To develop and validate a novel trajectory tracking control method for quadrotor UAVs using the Global Fast Terminal Sliding Mode Control (GFTSMC) algorithm.
  • To address the inherent drawbacks of PID and conventional SMC, specifically slow response times and inadequate anti-disturbance capabilities.

Main Methods:

  • An accurate kinematic and dynamic model of a quadrotor UAV, incorporating gyroscopic rotor moments, was established.
  • The trajectory tracking problem was decoupled into position and attitude loop command tracking.
  • GFTSMC controllers were designed for each loop, with stability rigorously proven using the Lyapunov principle.

Main Results:

  • GFTSMC demonstrated superior trajectory tracking performance compared to PID control, characterized by no overshoot, higher accuracy, and enhanced anti-disturbance capabilities.
  • Compared to Nonsingular Terminal Sliding Mode Control (NTSMC) and SMC, GFTSMC reduced steady-state convergence time by up to 36.5% and steady-state disturbance error by up to 97.3%.
  • The GFTSMC approach significantly improved response speed and anti-disturbance capability.

Conclusions:

  • The proposed GFTSMC algorithm substantially enhances the trajectory tracking control performance of quadrotor UAVs.
  • GFTSMC is well-suited for UAV applications demanding high real-time performance, precision, and robust anti-disturbance capabilities.
  • This advancement supports more reliable and efficient UAV operations in complex environments.