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Advanced LPV-MPC for UAV Control Using Particle Swarm Optimization
  • Abib Mohammed Hamza,
  • Mesmoudi Asma
Abib Mohammed Hamza
Universite Hassiba Benbouali de Chlef Laboratoire de Genie Electrique et Energies Renouvelables

Corresponding Author:[email protected]

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Mesmoudi Asma
Universite Hassiba Benbouali de Chlef Laboratoire de Genie Electrique et Energies Renouvelables
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Abstract

With an increasing focus on both performance and efficiency, UAV control systems have made great progress. In this work, we extend a previous LPV-MPC technique by including a more simplified control system for UAVs. The proposed control method removes the requirement for a velocity controller by concentrating on improving MPC performance using Particle Swarm Optimization (PSO) of the weight matrices. This system uses PSO to balance control effort with trajectory ac-curacy and simplifies the control architecture, hence improving UAV control efficiency. It is especially appropriate for situations where simplicity and energy economy are absolutely important.
23 Sep 2024Submitted to International Journal of Robust and Nonlinear Control
24 Sep 2024Submission Checks Completed
24 Sep 2024Assigned to Editor
24 Sep 2024Review(s) Completed, Editorial Evaluation Pending
25 Oct 2024Reviewer(s) Assigned