Name
Abstract | ||
|---|---|---|
An adaptive neural networks internal model controller is designed for a tilt rotor aircraft platform. The behavior of the research platform, in certain aspects, resembles that of a tilt rotor aircraft. The proposed control architecture can compensate external disturbances and dynamic inversion error. The controller includes an on-line learning neural network of inverse model and an off-line trained neural network of forward model. Lyapunov stability analysis guarantees tracking errors and network parameters are bounded. The performance of the controller is demonstrated using the tilt rotor aircraft platform, including nacelle tilting flight. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11539117_38 | ICNC (2) |
Keywords | Field | DocType |
tilt rotor aircraft platform,adaptive neural network,internal model controller,network parameter,inverse model,neural network,tilt rotor aircraft,research platform,off-line trained neural network,forward model,inverse modeling | Control theory,Control theory,Computer science,Model predictive control,Lyapunov stability,Rotor (electric),Artificial neural network,Nacelle,Internal model,Tracking error | Conference |
Volume | ISSN | ISBN |
3611 | 0302-9743 | 3-540-28325-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changjie Yu | 1 | 0 | 1.01 |
| Jihong Zhu | 2 | 10 | 5.89 |
| Zengqi Sun | 3 | 746 | 92.44 |