Landing a rotorcraft on a moving ship deck and under the influence of the unsteady ship airwake is extremely challenging. In high sea states, gusty conditions, and a degraded visual environment, workload during the landing task begins to approach the limits of a human pilot s capability. It is a similarly demanding task for shipboard launch and recovery of a VTOL UAV. There is a clear need for additional levels of stability and control augmentation and, ultimately, fully autonomous landing (possibly with manual pilot control as a back-up mode for piloted flight). There is also a clear need for advanced flight controls to expand the operational conditions in which safe landings for both manned and unmanned rotorcraft can be performed. For piloted rotorcraft, the current piloting strategies do not even make use of the available couplers and autopilot systems during landing operations. One of the reasons is that, as the deck pitches and rolls in high sea states, the pilot must maneuver aggressively to perform a station-keeping task over the landing spot. The required maneuvering can easily saturate an autopilot that uses a rate limited trim system. For fly-by-wire aircraft, there is evidence that the pilot would simply over-compensate and negate the effectiveness of a translation rate command/position hold control mode. In addition, the pilots can easily over-torque the rotorcraft, especially if they attempt to match the vertical motion of the deck. This project seeks to develop advanced control law frameworks and design methodologies to provide autonomous landing (or, alternatively, a high level of control augmentation for pilot-in-the-loop landings). The design framework will focus on some of the most critical components of autonomous landing control laws with the objective of improving safety and expanding the operational capability of manned and unmanned rotorcraft. The key components include approach path planning that allows for a maneuvering ship, high performan
Autonomous Control Modes and Optimized Path Guidance for Shipboard Landing in High Sea States
2015
17 pages
Report
Keine Angabe
Englisch
Aerodynamics , Aeronautics , Aircraft , Computer Software , Aircraft landings , Computer programs , Handling , Rotary wing aircraft , Algorithms , Automatic pilots , Control , Guidance , Models , Motion , Predictions , Ship decks , Shipboard , Autonomous control modes , Control law development , Deck motion prediction , Deck motion prediction algorithm , Disturbance models , Flightlab simulations , High sea states , Path guidance , Path optimization , Plant models , Sba(sea based aviation) , Scone ship motion data , Scone(systematic characterization of the naval environment) , Shipboard landings