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Advanced Automatic Pumping Station With Canal Water Level Remote Control System Using ABB PLC Based On FLC

Posted on:2017-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:ISHTIAQ MUHAMMADFull Text:PDF
GTID:2272330509453152Subject:Control theory and control engineering
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This research focuses on dynamic modeling, simulation and control of Advanced Automatic Pumping Station with Canal Level Remote Control System using ABB PLC(Programmable Logical Controller) based Fuzzy Logic Controller. The system is designed for the agricultural land where the water level(i.e. canals or rivers) is low and traditional system of irrigation is not working well. Designed system is able to control the water level of reservoir through reservoir gate according to the upper and lower limits and the level of canal according to the set point by increasing and decreasing the speed of pumps. System is automated through two different controllers; first controller automates the water reservoir gate according to limits of reservoir level and second controller dealt with speed of two pumps with respect to the set point of water level in canal. For controlling, monitoring and real time visualization of a system, HMI(Humane Interface Machine- CP 405) is connected which shows the reservoir inflow(m3/sec) and outflow(m3/sec), reservoir gate position(open and close), water level of reservoir(m), speed(rpm) of both pumps, output voltages(V), current(A) and torque(%) of pumps, canal inflow and level(critical depth). The upper and lower limits values and canal level set point can also be changed through it. The trend off all the parameters can also be visualized through trend graphs.The canal level was calculated according to the Manning’s Equation. To measure the canal level through level meter, the idea was based on GPRS communication system between PLC and canal water level meter. The applied Fuzzy Logic System was designed in MATLAB- Simulink which can communicate with PLC through OPC server by using gateway. A digital control unit PLC(AC500 PM556-ETH) get inputs(limits of reservoir, canal level set point) data through HMI, sends this data to fuzzy logic controller through OPC server where controllers adjust the reservoir gate position according to the limits of reservoir water level and canal water level according to the set point by increasing and decreasing the pumps speed. PLC receives information from controller and takes require actions. Simulation results show that system can effectively operate in both, automatic as well as manual conditions depending on selection switch.
Keywords/Search Tags:Canal Water Level, Fuzzy Logic System, Pumping Station, HMI
PDF Full Text Request
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