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Hydro-Electric Power Multi-Sensors Dam Control System Using Fuzzy Logic

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dc.contributor.author Ali, Layla Ali Hamid
dc.date.accessioned 2018-12-09T08:48:19Z
dc.date.available 2018-12-09T08:48:19Z
dc.date.issued 2017-02-16
dc.identifier.uri http://repo.uofg.edu.sd/handle/123456789/3178
dc.description A Dissertation Submitted to the University of Gezira in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Science in Computer Engineering and Networks Department of Computer Engineering and Networks Faculty of Engineering and Technology. February 2017 en_US
dc.description.abstract Recently the construction of hydro-electric power dam system water follow up is highly required for the electric power generation, flood control, irrigation system, and industrial water supply. Different methods have been implemented to control the hydroelectric power dam due to non-deterministic behavior of water parameters such as water level and flow rate. The improper opening and closing of the dam gate manually according to the level of water and flow rate is a major factor of water wastage in the dam. The aim of this study is design to control the dam gate and reduce the water wastage and the efficient usage of available water by using the Fuzzy Logic Control system (FLC). This study contains two models. The first model include four variables, tow variables for input as water level and flow rate and two variables for the output as out-flow control valve and drain valve. The second model has four inputs, two inputs for the water level and two inputs for the flow rate, it has two outputs which are out-flow control valve and drain valve. MATLAB R2014a software has been used for system implementation to control the dam gate. The water level sensors input is determined over a scale range from 0 m to 20 m classified in five different status: very low (0-5) m, low (4-10) m, below danger (9-15) m, danger(14-19) m and above danger(18-20) m, the flow rate sensors input is determined over a scale range from 0m3 s-1 to105m3 s-1classified in five different status: very slow( 0-2.5) *104m3 s-1, slow (1.5-5 )*104m3 s-1, normal(4 -7.5) *104m3 s-1, fast (7-9.5) *104m3 s-1,and very fast (9-11) *104m3 s-1.Two outputs of this s-1 system are out-flow control valve and drain valve which are classified in five different status: fully closed (0-5), 25% Opened(3-45), 50% Opened (40-60), 75% Opened (55-90) and Fully Opened (80-100). The simulation result confirm that the multi-sensors model has more accuracy (99% and 98% accuracy for out-flow valve and drain valve respectively) than the first model (97% and 96% accuracy for out-flow valve and drain valve respectively).The study recommends to expand this system by adding wireless controller technology. en_US
dc.description.sponsorship Magdi Baker Amin ( Main Supervisor) Murtada Mohammed Abdelwahab ( Co-supervisor) en_US
dc.language.iso en en_US
dc.publisher University of Gezira en_US
dc.subject Electromagnetic energy en_US
dc.subject electricity en_US
dc.subject Irrigation system en_US
dc.subject And industrial water supply en_US
dc.subject Water factors en_US
dc.subject Wireless control technology. en_US
dc.title Hydro-Electric Power Multi-Sensors Dam Control System Using Fuzzy Logic en_US
dc.type Thesis en_US


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