Advancing Carrier Landing Performance: Nonlinear Programming and Real-time Optimal Flight Control
Abstract
Develop methods for carrier approaches by UAVs, targeting reduced approach speed through nonlinear optimization and providing numerical and analytical solutions to describe the tradeoff among reduced approach speed, flight path control, and waveoff capability. Develop real-time flight controls leading to optimal performance that satisfies system constraints and adapts to disturbances. With UAVs’ promising capabilities to increase operation flexibility and reduce mission cost, this proposal shall fully exploit the automated carrier-landing performance advancement that can be achieved by fixed-wing UAVs. We will exploit reduced approach speed through nonlinear optimization, providing numerical and analytical solutions to describe the tradeoff among reduced approach speed, flight path control, and waveoff capability. We will develop real-time flight controls leading to optimal performance that satisfies system constraints and adapts to disturbances.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 23, 2016
- Source ID
- N000141612729
Entities
People
- Xiaoli Bai
Organizations
- Office of Naval Research
- Rutgers University
- United States Navy