Adaptive Flight Control to Enhance Survivability and Reduce Cost of Change
Lead Research Organisation:
CRANFIELD UNIVERSITY
Department Name: Sch of Aerospace, Transport & Manufact
Abstract
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Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/S513623/1 | 30/09/2018 | 29/09/2024 | |||
| 2278904 | Studentship | EP/S513623/1 | 30/09/2019 | 30/03/2023 | Matthew Osborne |
| Description | An extensive review of safe learning techniques for nonlinear control systems. A bridging of the gap between nonlinear control techniques using contraction metrics and convex optimisation and traditional linear time invariant controller design using pole placement or linear control theory. A novel algorithm that generates a control policy using this new knowledge to optimise a contraction metric for flying qualities specifications. The first application of control contraction metrics for a military aircraft flight controller. Limitations or complexities around the implementation of nonlinear control techniques using control contraction metrics for flight controllers. |
| Exploitation Route | Further optimisation and application of the techniques developed for higher dimensions and for a greater number of applications is possible in many other science and engineering fields. The work provides a good benchmark and reference material to expand upon. |
| Sectors | Aerospace Defence and Marine Education Other |
| URL | https://ieeexplore.ieee.org/document/9476765 |