Operation and Ph Control of A Wastewater Treatment Unit Using Labview (original) (raw)
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This work focuses on study the dynamics and pH control of a wastewater treatment unit contaminated with toxic metals; Cu, Cr and Fe. PH is the major key factor of the precipitation process. Sodium sulfide (Na2S) was selected, as a chemical additive to adjust the pH of water.LABview is the powerful tool to operate and control the experimental lab scale treatment unit. The predicted dynamic model of the pH process is first order lag system with dead time. The reliable tuning of control parameters could be obtained by the Internal Model Control (IMC) technique. PD scheme was undesirable control for the noisy mixed system. PI mode has found the best control strategy for the unsteady state pH process. Genetic algorithm (GA) is the suitable global stochastic technique for adaptation the controller's settings. PI genetic adaptive mode could improve the pH control of the wastewater.
Several chemical industrial plants such as electroplating and metal finishing plants have used strong acids and strong bases in production lines. These acids and bases are then released from the production lines to a wastewater treatment system and then treated to achieve compliance with an effluent standard. It is well known that the pH control of a wastewater treatment process is one of the most challenging control problems due to high non-linearity and time-variance of the pH value during pH titration. A conventional PID controller and an on-off controller are rarely able to handle this non- linearity resulting in poor control performances. Therefore, advanced nonlinear control techniques are needed. This research presents simulation study of Globally Linearizing Control (GLC) together with an extended Kalman Filter to control pH of the wastewater treatment process of an electroplating plant. The GLC, one of the advanced nonlinear model-based control techniques, has been develope...
Effective treatment of waste water is very essential in industries due to their harmful effects.it is essential to maintain pH in neutral region as per titration curve indication of strong acids which shows a small change in input, gives huge change in output in the range 6-8 pH value. Also there should be detection and correction of non-linear characteristics and disturbances such as temperature variations that occur in real time plant scenario. This paper aims to reduce these real time disturbances that effect the pH value and prevent pH operating point in the neutral region. This work involves design of algorithm to choose a suitable tuning method for different plant characteristics and then to tune controller parameters effectively. The tuning methods selected were Ziegler-Nichols method, Astrom-Hagglund method, Tsang-Rad method and Fruehauf tuning rules were applied for PI (Proportional Integral)tuning. This makes adaptive tuning of PI Controller in different plant parameters and disturbances.
Improving Process Management in a Water Treatment Plant Using Control Modelling
IFIP Advances in Information and Communication Technology, 2016
This work presents a modelling and a simulation of a pH control for process management in a drinking water treatment plant. A range of historical data, or knowledge base, was used to define the behavior of each input and disturbances of the process, using the MATLAB/Simulink software. The present pH control modelling has been simulated and compared to some experimental tests, thus contributing to achieve and identify operational scenarios in a real water treatment plant. Therefore, the present results allows to predict not only the present scenarios but also new operational conditions, in order to estimate the better process parameters and reduce some costs related to raw materials, such as the lime consumption , in water treatment plants.
IPTEK The Journal for Technology and Science, 2007
The conventional PID control (linear) is popular control scheme that is used in almost pH control at waste water treatment process. pH model with respect to titration liquid flow rate has been known to be intrinsically difficult and nonlinear, especially when the process is conducted to non-linear range pH reference (pH 4-8), the settling time reach a long time. Therefore in this paper the nonlinear controller with self-tuning PID scheme is performed handle pH by training a neural-network based on backpropagation error signals. The pH process model is combination between CSTR (Continuous Stirred Tank Reactor) linear dynamic with H 3 PO 4 , HF, HCl, H 2 S flow rate and nonlinear static electro neutrality (wiener process model). The simulation result has a good and suitable performance under several tests (set-point and load change). The simulation result show the pH control system can follow the change of pH set-point and load with the average steady state error 0.00034. The settling time achieved at 50 second faster than conventional PID controller scheme.
Advanced Control Strategy for Wastewater Treatment Process: A Parametric Study
International Journal of Chemical Engineering and Applications, 2014
In this paper, a model based control strategy has been developed for the wastewater treatment process. Interesting results have been reported by introducing the cyclic input i.e. dilution rate D in terms of productivity of the process. The effect of variable feed conditions which are associated with the wastewater treatment process has been studied. The effect of some tuning parameters (prediction horizon, control, horizon, sampling time etc.) is also studied. The controller performance for the three regions of sampling time is tested and the best case is reported. In first part, steady state analysis of the process has been studied and the optimum plant operating conditions reported. In the next phase periodic forced operation, has been implemented using non-linear model predictive control. The controller successfully, achieved the objective i.e. 10 % increase in productivity than the maximum with 29 % decrease in power consumption for pumping cost.