Research Article
Application of Principal Component Analysis-Assisted Neural Networks for the Rotor Blade Load Prediction
Table 1
Description of input variables.
| | Variables | Minimum | Maximum | Units | Symbol |
| | Height | 0 | 5500 | m | | | Indicated airspeed | 0 | 240 | km/h | | | Collective pitch position | 0 | 100 | % | | | Longitudinal cyclic pitch position | -180 | 180 | mm | | | Lateral cyclic pitch position | -180 | 180 | mm | | | Pedal position | -180 | 180 | mm | | | Pitch angle | -30 | 30 | (°) | | | Roll angle | -45 | 45 | (°) | | | Angle of yaw | 0 | 360 | (°) | | | Pitch rate | -30 | 30 | °/s | | | Roll rate | -30 | 30 | °/s | | | Yaw rate | -30 | 30 | °/s | | | Normal acceleration | 0.5 | 2.5 | g | | | First engine torque | 0 | 100 | % | | | Second engine torque | 0 | 100 | % | | | Third engine torque | 0 | 100 | % | | | Flapping loads | — | — | N·m | |
|
|
