Name
Abstract | ||
|---|---|---|
In the paper the Internal Model Control approach for ship autopilot system is presented. The proposed course controller employs the structure of the cascade system. The internal model of the plant and its inverse are estimated by neural network what made it possible to reduce the uncertainty of the control process. The ship model contains the saturation of the rudder angle and the rudder rate. Therefore to the controller design the structure with feedback connection is used. Computer simulation results are included in the paper to demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CYBConf.2015.7175928 | 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF) |
Keywords | Field | DocType |
Internal Model Control,identification,cascade control system | Rudder,Control theory,Control theory,Control engineering,Automatic control,Autopilot,Process control,Control system,Engineering,Artificial neural network,Internal model | Conference |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krzysztof Kula | 1 | 1 | 0.40 |