Abstract | ||
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Effective thrust allocation for underwater vehicle is very important to realize complex control task. In order to generate optimal thrust allocation according to control command, a thrust optimal allocation scheme has been designed for broad type of underwater vehicles. Corresponding to horizontal and vertical thruster configuration, a force allocation model has been established to realize optimal allocation. Infinity-norm optimization has been combined with 2-norm optimization to construct a bi-criteria primal-dual neural network optimal allocation scheme. In the experiment of open frame remote operated vehicle, bi-criteria primal-dual optimization outperformed 2-norm optimization in the fault tolerance control and accurate path following. In the thrust optimal allocation simulations for underwater vehicle manipulator system, 4 vertical thrust have been optimal allocated to realize diving and attitude maintenance successfully during manipulation process. Thus the thrust optimal allocation has been verified. |
Year | DOI | Venue |
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2016 | 10.1007/978-3-319-41009-8_53 | ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II |
Keywords | Field | DocType |
Thrust allocation,Optimal allocation,Bi-criteria optimization | Mathematical optimization,Control theory,Computer science,Manipulator,Path following,Fault tolerance,Underwater vehicle,Artificial neural network,Thrust,Underwater | Conference |
Volume | ISSN | Citations |
9713 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hai Huang | 1 | 1 | 0.70 |
Guocheng Zhang | 2 | 2 | 1.74 |
Yi Yang | 3 | 43 | 6.50 |
Jin-yu Xu | 4 | 1 | 0.36 |
Ji-yong Li | 5 | 1 | 0.70 |
Lei Wan | 6 | 1 | 0.36 |