Abstract
The idea of adapting genetic algorithms for tuning of the formation flight multi stage control system parameters is presented. The results were conducted on the simulation model with the switching control of the leader-follower. The different configurations of the parameters selection were tested. The fitness function based on position error and with non constant coefficient parameters was introduced. The obtained results were compared with those of the classically tuned system.
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Acknowledgment
The work is supported with University Grants No. WZ/WM-IIM/1/2019 and WI/WM-IIM/6/2020, Faculty of Mechanical Engineering, Bialystok University of Technology.
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Bożko, A., Ambroziak, L., Pawluszewicz, E. (2021). Genetic Algorithm for Parameters Tuning of Two Stage Switching Controller for UAV Autonomous Formation Flight. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2021: Recent Achievements in Automation, Robotics and Measurement Techniques. AUTOMATION 2021. Advances in Intelligent Systems and Computing, vol 1390. Springer, Cham. https://doi.org/10.1007/978-3-030-74893-7_16
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