Abstract
In this paper fuzzy logic principles are used to control the level and temperature of water in fish eggs breading tank. The control task aims to keep the water level and the water temperature in a tank within certain ranges, the temperature due to Newton’s law of cooling would drop down, and to keep it within limits, hot water is added, and cold water is drained. Sensors for temperature and level are used to give fuzzy input to the fuzzy controller which outputs the amount of opening in the two control valves.
Highlights
In nonlinear processes or processes that require fast responses which cannot be achieved using analytical or classical mathematical models, artificial intelligence applications become a good option to consider
Sensors for temperature and level are used to give fuzzy input to the fuzzy controller which outputs the amount of opening in the two control valves
In this paper we are presenting a fuzzy control approach to control the level and temperature of water in a tank that is used for fish eggs breading
Summary
In nonlinear processes or processes that require fast responses which cannot be achieved using analytical or classical mathematical models, artificial intelligence applications become a good option to consider. Fuzzy control applications are wide spread in engineering [1] [2]. They came to the scene in the 1990s and kept growing and pushing for their place in the control field until they became typical choice in house hold appliances, electrical grid calculations and simulation, automation and industrial instrumentation. In this paper we are presenting a fuzzy control approach to control the level and temperature of water in a tank that is used for fish eggs breading. The water in the tank would cool down according to equation 2, and to keep it within the range of accepted temperature; hot water at 90oC is added through valve number one, and to keep water level at accepted values water is drained through valve number two
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