Ship Dynamic Positioning Control Research Using the Improved SAM Based on ACA
2013 ◽
Vol 475-476
◽
pp. 598-602
Keyword(s):
In fuzzy system, the selection of fuzzy rules is difficult. For the whole system, the merits of the rules seriously influence the final result. This paper uses the ant colony algorithm (ACA) to optimize the weights of the rules in the standard additive fuzzy system. At present, the ship dynamic positioning system has caused wide public concern. In the paper, a ship dynamic positioning controller based on the ACA and the standard additive model is proposed. Through the new controller is applied to control the dynamic positioning ship in the complex sea conditions, the results show that the proposed controller is effective.
2018 ◽
Vol 215
(4)
◽
pp. 143-155
2014 ◽
Vol 919-921
◽
pp. 2127-2130
Keyword(s):
Keyword(s):
2020 ◽
Vol 84
(1/2/3/4)
◽
pp. 118
2012 ◽
Vol 19
(Special)
◽
pp. 57-65
◽
Keyword(s):