Development of an Autonomous Shrimp Feeding Robot
Date Issued
2010
Date
2010
Author(s)
Su, Yi-Lun
Abstract
This research focused on the developing of an autonomous shrimp feeding robot for improving the feeding method and cultivation results. Feeding shrimps day by day is a basic but important work in cultivation period. The feeding time, amount and frequency are the major factors that affect the results most. It is a better way to feed less more often at night for conforming it to the behavior of shrimps. For the amount of feeding, it depends on the weather, season, water quality, and the phase of life cycle in shrimps etc. No matter we overfeed or underfeed, it might reduce the cultivation results. In tradition, it is difficult to achieve the best feeding way using manpower. Instead of that this research developed a feeding robot and applied it to feed less more often at night.
Because the robot feeds and acts on the surface of aqua water, it was designed as the type of a boat. For the function of moving, it was made of a transom-mount trolling motor. Since shrimps usually forage along the edge of the bottom at a breeding pond, the robot was designed for moving along the banks several times in order to feed shrimps. And it kept a 1.5 meter distance away from the bank.
Ultrasonic distance sensors were used on the robot to determine the distance and angle between banks and itself. According to those data, fuzzy logic control made the robot accomplish wall-following action. The results indicated that the robot could move along the bank and keep a 1.5±20% meter distance away from the bank. An IR transmitter was built up in the berth. The robot could rely on the IR receiver mounted on it to determine where to berth itself after finishing the job. The feeding mechanism was swing the bait out with a turntable, and it could feed within a radius of 1.5 meter. The mechanism could adjust the speed of the robot or the frequency of swing the bait to control different kinds of feeding amount.
Subjects
Aquaculture
shrimp
feeding
robot
fuzzy logic control
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