Name
Abstract | ||
|---|---|---|
Considering the problem of Dynamic Positioning (DP) System for the slowly-varying disturbances, in this paper we are interested in the adaptive backstepping control technique with acceleration feedback in order to reject the uncertainties and external disturbances. The controller parameters and acceleration feedback (AFB) parameters are optimized using particle swarm optimization (PSO). Finally, the method is verified effective by the computer simulation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234051 | FSKD |
Keywords | Field | DocType |
dynamic positioning system,dynamic positioning,external disturbances,uncertainties disturbances,pso,adaptive backsteeping,acceleration feedback adaptive backstepping controller,particle swarm optimisation,acceleration feedback parameters,feedback,adaptive control,acceleration control,acceleration feedback,position control,particle swarm optimization,backstepping,computer simulation,vectors,optimization,acceleration | Particle swarm optimization,Control theory,Backstepping,Acceleration control,Dynamic positioning,Control theory,Computer science,Backstepping controller,Acceleration,Adaptive control | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4673-0025-4 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaogong Lin | 1 | 4 | 1.78 |
| Yehai Xie | 2 | 1 | 0.37 |
| Dawei Zhao | 3 | 193 | 20.38 |
| Shusheng Xu | 4 | 2 | 1.08 |