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In this paper we are presenting the genetic optimization of the gains in proportional-integral-derivative (PID) controllers for unmanned aerial vehicles. Genetic algorithms are applied to find the optimal values of the gains in the PID controllers so the drone can follow a given desired trajectory. The results of the optimized controller are compared against a non-optimized PID controller to show the advantages of utilizing genetic algorithms for this task.

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Genetic Optimization of PID Controllers for Unmanned Aerial Vehicles

  • 章节

  • 发表日期：

    2025年

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  • Cesar Garcia,
  • Fevrier Valdez,
  • Oscar Castillo

摘要

In this paper we are presenting the genetic optimization of the gains in proportional-integral-derivative (PID) controllers for unmanned aerial vehicles. Genetic algorithms are applied to find the optimal values of the gains in the PID controllers so the drone can follow a given desired trajectory. The results of the optimized controller are compared against a non-optimized PID controller to show the advantages of utilizing genetic algorithms for this task.