Abstract
In this paper, a robust unknown input observer-based actuator fault detection and isolation (FDI) scheme is applied on an example aircraft fluid thermal management system (FTMS). System dynamics are modeled using a graph-based approach. A linearized state space model is used in a bank of unknown input observers (UIOs) to generate a set of structured robust (in the sense of disturbance decoupling) residuals. Simulation results show successful actuator FDI in the presence of unknown inputs.
| Original language | English (US) |
|---|---|
| Title of host publication | Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791851906 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
| Event | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States Duration: Sep 30 2018 → Oct 3 2018 |
Publication series
| Name | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
|---|---|
| Volume | 2 |
Other
| Other | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 9/30/18 → 10/3/18 |
Bibliographical note
Funding Information:This material is based upon work supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548.
Publisher Copyright:
Copyright © 2018 ASME