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Researchers compared control strategies for autonomous Wing-in-Ground (WIG) crafts. Linear Quadratic Regulator (LQR) demonstrated the best performance for safe operation in various scenarios, including obstacle avoidance.

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Autonomous Systems

Background:

  • Autonomous vehicles are rapidly advancing, with Wing-in-Ground (WIG) crafts offering efficiency and sustainability.
  • WIG crafts leverage ground proximity for low drag and high lift, but lack robust flight control theories for safe autonomous operation.

Purpose of the Study:

  • To address the challenge of controlling WIG crafts autonomously in diverse operational scenarios.
  • To compare the performance of different control strategies for WIG craft stability and maneuverability.

Main Methods:

  • Model Predictive Control (MPC) was applied to the nonlinear WIG model.
  • Proportional-Integral-Derivative (PID), Linear Quadratic Regulator (LQR), and adaptive LQR were tested using partial feedback linearization.

Main Results:

  • The Linear Quadratic Regulator (LQR) exhibited superior overall performance across tested scenarios.
  • Different control strategies showed varying effectiveness depending on specific design requirements and operational conditions.

Conclusions:

  • LQR presents a highly effective control solution for autonomous WIG crafts.
  • Controller selection for WIG vehicles should consider specific performance objectives and operational contexts.