ON-BOARD SYSTEM IDENTIFICATION FOR UNCERTAINTY MODELLING AND CHARACTERIZATION – EXPRO PLUS
13, August 2018

ESA Open Invitation to Tender AO9509
Open Date: 10/08/2018
Closing Date: 31/10/2018 13:00:00

Status: ISSUED
Reference Nr.: 18.1EC.07
Prog. Ref.: Technology Developme
Budget Ref.: E/0901-01 – Technology Developme
Special Prov.: BE+DK+FR+DE+IT+NL+ES+SE+CH+GB+IE+AT+NO+FI+PT+GR+LU+CZ+RO+PL+EE+HU
Tender Type: C
Price Range: 200-500 KEURO
Products: Satellites & Probes / System Engineering Software / System Modelling & Simulation / Dedicated simulation tools (on-board computer emulators, front-end equipment simulation, …)
Techology Domains: Space System Control / Control Systems Engineering / AOCS/GNC Architecture
Establishment: ESTEC
Directorate: Directorate of Tech, Eng. & Quality
Department: System, Software & Technology Department
Contract Officer: Casini, Gian Lorenzo
Industrial Policy Measure: N/A – Not apply
Last Update Date: 10/08/2018
Update Reason: Tender issue

Future spacecraft missions require high accuracy (in relative and absolute kinematics as well as attitude parameters). Accurate pre-flight knowledge of the plant to be controlled is today necessary for designing accurate Attitude and Orbit Control Systems (AOCS) or instrument pointing systems (including for instance precise structural modal analysis).The on-board modelling techniques addressed in this study shall be categorized as model based estimation and identification techniques for the online dynamic (attitude control) and kinematic (relative orbit for RV) model generation and model calibration. On-line model acquisition techniques shall be developed with the purpose to identify accurately, in a computational efficient and reliable manner the right model parameters that support the AOCS or GNC systems needs. The algorithms to be developed shall rely on on-line filtering, on-line estimation (uncertainty and disturbance observers) and on-line system identification techniques (parametric and non parametric techniques). These techniques are all designed to generate corrective model data and corrections to perturbation signals which cannot be or would not need anymoreto be reliably predicted on ground. The validation and verification issues associated with the development of the on-line modeling strategies shall be included in the study.The activity shall include the following tasks:1) Review and select candidates which would benefit from on-board uncertainty modelling techniques2) Assess the dynamic and kinematic modelling requirements for a high performance mission3) Perform a trade-off study between the various on-line model identification techniques and perform a final selection of candidate techniques4) Develop a SW prototype and integrate it in a GNC system functional simulator5) Evaluate performance and system impact and issue recommendations

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