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Journal > International Journal of Computing Science and Applied Mathematics > Auto Floodgate Control Using EnKf-NMPC Method

 

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International Journal of Computing Science and Applied Mathematics
Vol 2, No 1 (2016): March
Auto Floodgate Control Using EnKf-NMPC Method
Article Info   ABSTRACT
Published date:
01 Apr 2016
 
One of flood control, especially in the downstream areas are barrage. Auto Optimized using Ensemble Kalman filter based non linear predictive control. Ensemble Kalman Filter is used to predict water levels and flow of water when it reaches the barrage, with the results obtained from this method is then used as input for controlling the floodgates. Simulations performed in three circumstances, namely the normal flow, flooding and drought. For normal flow, using optimum quantities obtained NMPC open the floodgates. Simulations were performed for 100 an hour, with a gap of 5 per hour of observation. EnKf fulfilled with RMSE accuracy of the system and estimates of less than 1, RMSE debit is 0.5346 and RMSE water level is 0.2716. And the operation of the Opening gate achieve optimum value, with the movement of between 40-65 per cent, with an average difference of movement is 0.10065 percent. Flood conditions, the water flow 2,000  and the water level 10 m operation of Opening gate ranging between 98-100 per cent and the amount of the difference Opening Gate is 0.028835. RMSE to estimate the flow rate of 1.5835, while for the water level of 0.3145. While the flow conditions dry, with water flow 10  and the water level 1 m operation of opening gate ranging between 0-1 per cent and the amount of the difference Opening Gate is 0.41289 percent. RMSE to estimate the flow rate of 0.0826, while for the water level of 0.0677.
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