| タイトル | Intelligence Applied to Air Vehicles |
| 著者（英） | Fletcher, L. Skip; Zornetzer, Steven; Gross, Anthony R.; Rosen, Robert |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2000-01-01 |
| 言語 | eng |
| 内容記述 | The exponential growth in information technology has provided the potential for air vehicle capabilities that were previously unavailable to mission and vehicle designers. The increasing capabilities of computer hardware and software, including new developments such as neural networks, provide a new balance of work between humans and machines. This paper will describe several NASA projects, and review results and conclusions from ground and flight investigations where vehicle intelligence was developed and applied to aeronautical and space systems. In the first example, flight results from a neural network flight control demonstration will be reviewed. Using, a highly-modified F-15 aircraft, a NASA/Dryden experimental flight test program has demonstrated how the neural network software can correctly identify and respond to changes in aircraft stability and control characteristics. Using its on-line learning capability, the neural net software would identify that something in the vehicle has changed, then reconfigure the flight control computer system to adapt to those changes. The results of the Remote Agent software project will be presented. This capability will reduce the cost of future spacecraft operations as computers become "thinking" partners along with humans. In addition, the paper will describe the objectives and plans for the autonomous airplane program and the autonomous rotorcraft project. Technologies will also be developed. |
| NASA分類 | Aircraft Design, Testing and Performance |
| 権利 | No Copyright |
|
