Bilinear Interpolation of Three-Dimensional Gain-Scheduled Autopilots
1Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
Sensors (Basel, Switzerland)
|January 11, 2024
Summary
Gain-scheduled autopilots using bilinear interpolation significantly improve missile guidance by reducing miss distances by up to 196%. This adaptive control strategy enhances robustness in complex, non-linear systems.
Area of Science:
- Engineering
- Control Systems
- Aerospace
Background:
- Gain-scheduled autopilots are crucial for adaptive control of complex, non-linear systems.
- They offer adaptability to changing operational conditions and uncertainties.
- Conventional methods face limitations in dynamic environments.
Purpose of the Study:
- To investigate the application of bilinear interpolation for gain-scheduled autopilots.
- To enhance system performance and robustness in adaptive control.
- To compare bilinear interpolation against conventional and specialized gain-scheduling techniques.
Main Methods:
- Utilized bilinear interpolation for gain-scheduled autopilot design.
- Conducted comprehensive comparative analysis using three distinct case studies.
- Employed missile guidance simulations with miss distance and simulation time as metrics.
Main Results:
- Bilinear interpolation demonstrated significant improvements in missile guidance.
- Miss distances were reduced by 179% (bilinear interpolation) and 196% (automatic instantiations) compared to index-search.
- Computational burden was only slightly increased.
Conclusions:
- Bilinear interpolation offers a robust and high-performance strategy for gain-scheduled autopilots.
- This method provides substantial advantages over conventional techniques in missile guidance applications.
- The approach enhances adaptive control for complex non-linear systems.
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