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Simple Controller Tuning for Unmanned Aerial Vehicles using Governors

R. Dyrska,Jens Müller,M. Fikar,M. Mönnigmann

2023 · DOI: 10.1109/PC58330.2023.10217429
International Conference on Process Control · 2 Citations

TLDR

It is shown that the governor-based tuning approach enables the high-level tuning of the existing controller of the UAVs by using a single tuning parameter only.

Abstract

A simple governor-based controller tuning is implemented and tested for the application to unmanned aerial vehicles (UAVs). We show that the governor-based tuning approach enables the high-level tuning of the existing controller of the UAVs by using a single tuning parameter only. We implement the approach on two UAV platforms of different sizes and controller frameworks to prove the versatility of the given approach. The validation is performed with experimental data collected for the UAVs flying in the supervised environment of an indoor flight laboratory.