Black-box Identification of a Robotic Flight Simulator

Author(s)

Matheus, A. C. ; Villani, E. ; Oliveira, W. R. ; IEEE

• Document type: Journal article
• Source: 16TH IEEE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2020); v. N/A, p. 6-pg., 2020-01-01.

Abstract

Optimization of motion cueing algorithms is a relevant topic in flight simulation industry. To achieve this goal, a representative model of the motion platform is needed. With this intent, this work presents a black-box approach to identify a model for the SIVOR flight simulator. The model receives position/orientation inputs in Cartesian space and streams out accelerations/angular speeds measured on the pilots' head. A comprehensive experimental analysis is carried out using a dataset based on isolated positional and rotational inputs. A frequency domain analysis is performed to evaluate signal measurement noise and to determine the model structure. As a result, a combination of continuous time linear transfer functions were identified to represent each of the direct and cross relations mapped throughout the process. (AU)

• FAPESP's process: 12/51085-3 - Flight simulator assisted by a robotic motion platform
• Grantee: Luís Gonzaga Trabasso
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE