Auto Floodgate Control Using EnKf-NMPC Method

Abstract

Abstract-One of the flood controls, especially in the downstream areas are barrage. Those are optimized using Ensemble Kalman filter based non linear predictive control. Ensemble Kalman Filter is used to predict water levels and flow of waters when it reaches the barrage. The results obtained from this method is then used as input for controlling the floodgates. Simulations are performed in three circumstances, namely the normal flow, flooding and drought. For normal flow, using optimum quantities are obtained from NMPC by opening the floodgates. Simulations were performed for 100 hours, with a gap of 5 per hour of observation. EnKf fulfilled with RMSE yields accuracy of the system and estimates of less than 1, RMSE debit is 0.5346 and RMSE water level is 0.2716. Furthermore the operation of the opening gate achieves 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 m 3 /s 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 m 3 /s 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.

Estimation of water momentum and propeller velocity in bow thruster model of autonomous surface vehicle using modified Kalman filter

“…In this section, we describe the EnKF algorithm [2], [31], [32]. The algorithm was applied to the linearized bow thruster model.…”

Fuzzy Logic Based Flood Warning and Floodgate Control System

“…This proposed work is basically used to control the dam reservoir gate through fuzzy logic implemented on embedded system using ultrasonic sensors and the gate is controlled in a precise manner by the steps of stepper motor and the problem of flooding due to excess water in the reservoir will be solved. Previously the gate control is done manually [10], if the amount of water increases above the certain level then gate will shift by some level and water will be released, but when suddenly water level increases then there will be chances of overflowing the reservoir and area near too that reservoir is also affected by the flood, so it takes thousands of life and millions of property loss. The conventional control techniques is replaced here by using fuzzy logic and implemented using low cost Atmega32 microcontroller to provides a solution.…”