Fuzzy Control of Underwater Vehicles based on Boolean Association Rule Data Mining
نویسندگان
چکیده
Aiming at high overshoot and steady-state error in fuzzy controller of underwater vehicles, a new method based on data mining technique was presented. Apply Boolean association rule data mining to mine the polling list of fuzzy control from the database of manual operation record, and simulation and outfield experiments were carried out on Super Mohawk underwater vehicle to verify the feasibility and superiority. The results show that the controller has lower overshoot, and the polling list of fuzzy control can be constructed automatically by Boolean association rule data mining, which improves the accuracy and the precision of motion control for underwater vehicles.
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