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)|
|State||Published - 2018|
|Event||ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States|
Duration: Sep 30 2018 → Oct 3 2018
|Name||ASME 2018 Dynamic Systems and Control Conference, DSCC 2018|
|Other||ASME 2018 Dynamic Systems and Control Conference, DSCC 2018|
|Period||9/30/18 → 10/3/18|
Bibliographical noteFunding 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.
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