Path planning and path following are critical for fixed-wing Unmanned Aerial Vehicles (UAVs) to execute flight missions successfully. This chapter presents Dubins-curve-based path-planning algorithms and commonly employed path-following control algorithms. Three types of experiments are included: basic, analysis, and design experiments. These experiments will provide readers with a deeper understanding of path following and path planning for micro-small fixed-wing UAVs. In the basic experiment, readers will design path-following control algorithms for micro-small fixed-wing UAVs using MATLAB and Simulink. In the analysis experiment, readers will apply the principles of Dubins curves to path planning. In the design experiment, readers will integrate path-following and path-planning algorithms to accomplish flight missions of micro-small fixed-wing UAVs. The effectiveness of the algorithms will be further verified through Hardware-In-the-Loop (HIL) simulation using the RflySim toolchain. For more information on this chapter, please refer to the link.

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Path Following and Planning Experiment

  • Wenhan Gao,
  • Xinquan Chen,
  • Xunhua Dai,
  • Quan Quan

摘要

Path planning and path following are critical for fixed-wing Unmanned Aerial Vehicles (UAVs) to execute flight missions successfully. This chapter presents Dubins-curve-based path-planning algorithms and commonly employed path-following control algorithms. Three types of experiments are included: basic, analysis, and design experiments. These experiments will provide readers with a deeper understanding of path following and path planning for micro-small fixed-wing UAVs. In the basic experiment, readers will design path-following control algorithms for micro-small fixed-wing UAVs using MATLAB and Simulink. In the analysis experiment, readers will apply the principles of Dubins curves to path planning. In the design experiment, readers will integrate path-following and path-planning algorithms to accomplish flight missions of micro-small fixed-wing UAVs. The effectiveness of the algorithms will be further verified through Hardware-In-the-Loop (HIL) simulation using the RflySim toolchain. For more information on this chapter, please refer to the link.