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S plane control based on parameters optimization with simulated annealing for underwater vehicle

Authors: Yushan Sun; Lei Wan; Yueming Li; Liwei Li; Guocheng Zhang;

S plane control based on parameters optimization with simulated annealing for underwater vehicle

Abstract

Nonlinearity of underwater vehicles(UVs) and complexity of working environments make the precise control of AUVs difficult for some of the intelligent operations. Based on the analysis of fuzzy control and combined with the form of PID control, S plane control is a simple and effective method, but parameters must be manually set for its controller. Improved simulated annealing algorithm is introduced to S plane control method to optimize the controller's parameters automatically. The feasibility and advantages of the algorithm has been demonstrated by simulation results.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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