2019/09/30 by Giuseppe L'Erario, Luca Fiorio, Gabriele Nava +5 · 1 citation
Computer Science · Engineering · #Aeroelasticity and Vibration Control #Aerospace and Aviation Technology #Control Systems and Identification #Control theory (sociology) #Identification (biology) #Jet (fluid) #Jet engine #Linearization #Nonlinear system #System identification #Thrust #cs.RO #cs.SY #eess.SY
paper · pdf · doi:10.1109/lra.2020.2970572
8 pages, 12 figures, submitted to RA-L and ICRA
openalex publication_date 2020/01/31 · openalex created_date 2020/02/07 · arxiv created 2020/06/04 · arxiv updated 2020/06/08 · openalex updated_date 2026/08/05
The paper contributes towards the modeling, identification, and control of model jet engines. We propose a nonlinear, second order model in order to capture the model jet engines governing dynamics. The model structure is identified by applying sparse identification of nonlinear dynamics, and then the parameters of the model are found via gray-box identification procedures. Once the model has been identified, we approached the control of the model jet engine by designing two control laws. The first is based on the classical Feedback Linearization technique, while the second one on the Sliding Mode control method. The overall methodology has been verified by modeling, identifying and controlling two model jet engines, i.e. P100-RX and P220-RXi developed by JetCat, which provide a maximum thrust of 100 N and 220 N, respectively.