Model-Based Optimization Approach for PID Control of Pitch–Roll UAV Orientation

Autor: Orlando Arrieta, Daniel Campos, Javier Rico-Azagra, Montserrat Gil-Martínez, José D. Rojas, Ramon Vilanova
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Mathematics, Vol 11, Iss 15, p 3390 (2023)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math11153390
Popis: This study focuses on the modeling and control optimization of the pitch–roll angles orientation in a quad-rotor UAV (unmanned aerial vehicle) drone system. To address the control challenge, PID (proportional–integral–derivative) controllers are used, which have been tuned through a model-based optimization approach. A non-linear model of the system is obtained and further validated experimentally. The model is implemented in Simulink to conduct model-based optimization. The controller design uses an IMC (internal model control) model-based approach to establish the initial parameters for a PID controller. In the subsequent design phase, a multiobjective approach is taken, incorporating weighted cost functions that account for IAE (integral absolute error) and ITAE (integral of time-weighted absolute error) forms, along with battery usage. The outcomes of this design are showcased through simulations and real-world platform testing.
Databáze: Directory of Open Access Journals
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