Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics

Research output: Contribution to journalArticlepeer-review

  • External authors:
  • L. Fiorio
  • G. Nava
  • H.A.O. Mohamed
  • E. Benenati
  • S. Traversaro
  • D. Pucci


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.

Bibliographical metadata

Original languageEnglish
JournalIEEE Robotics and Automation Letters
Early online date31 Jan 2020
Publication statusPublished - 2020