Aircraft-type unmanned aerial vehicle control system tuning with a genetic algorithm
Authors: Koshkina A.A., Maslennikov A.L., Babenko M.D., Chulin N.A.
Published in issue: #2(158)/2025
DOI: 10.18698/2308-6033-2025-2-2427
Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control
The paper considers a problem of tuning the control system of an aircraft-type unmanned aerial vehicle using a genetic algorithm. It applies the entire mathematical model of the unmanned aerial vehicle, which accounts for aerodynamic characteristics obtained using the SolidWorks Flow Simulation software package. The control system consists of four loops: altitude, velocity, course and lateral overload, which additionally include the internal control loops. The control loops are implemented in the PI controllers, which coefficients are selected using three consequent optimization procedures. First, the control loop parameters are selected for velocity, then for altitude, and then jointly for the course angle and lateral overload. The paper provides the general optimization problem statement and minimization criteria for each case associated with quality indicators of the transient processes depending on the selected controller coefficients. To test the proposed approach, a computational experiment was conducted; the results showed that genetic algorithms were quite applicable in solving the problem.
EDN VUIMBS
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