PROCESS MODEL-BASED CONTROL OF WASTEWATER pH (original) (raw)
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pH-Control Problems of Wastewater Treatment Plants
DOAJ (DOAJ: Directory of Open Access Journals), 2018
Experimental investigations have been carried out to investigate the pH-control problems of industrial electroplating wastewater treatment plants. The accurate and sensitive PID control system could treat most problem and disturbances in the normal operation of the water treatment. However, conventional treatment was replaced by proprietary treatment agent called a QUASIL which was found to be more effective for a wide range of pH.
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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.
Process Simulator for Wastewater Treatment Plant
Dynamic models and process simulators can be very useful in creation of effective control systems for wastewater treatment processes. They also allow seizing procedures of designing of technological processes, helping to estimate and to pick up successfully technological parameters, which influence stability and efficiency of processes. Modern wastewater treatment is a quite complex process, which includes several treatment steps before the water is released to the recipient. The typical process of wastewater treatment includes four stages: mechanical treatment, biological treatment, chemical treatment, and sludge treatment. In this paper the separate models for each wastewater treatment stage are combined to form a complex dynamic model for simulation of wastewater treatment plant. Important data from Kaunas wastewater treatment plant are collected to facilitate the identification of mathematical models parameters.
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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 (Na 2 S) 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.
IMPROVING OF pH CONTROL FOR A WASTEWATER TREATMENT UNIT USING GENETIC ALGORITHM
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LabVIEW technique is the powerful graphical programming language that has its roots in operation, automation control and data recording for the wastewater system with multiple contaminants of heavy metals; Cu, Cr, and Fe from the electroplating process. LabVIEW is a flexible language that contains large number of functions and tools. pH of wastewater is the major key of precipitation process which selected as the desired value of the treatment system. The flow rate of chemical reagents (acid and base) can be selected as the effective decision variable. The pH process dynamically behaved as the first order lag system with dead time. PI mode would be proven as the best scheme for control the fast pH process. Genetic algorithm has found the suitable stochastic technique for adaptation controller parameters of the unsteady state nonlinear process. PI genetic adaptive controller improves the performance of
Operation and Ph Control of A Wastewater Treatment Unit Using Labview
LABVIEW is a powerful and versatile graphical programming language that had its roots in operation, automation control and data acquisition of the system. The pH control system of a non-linear wastewater treatment unit, contains heavy metals (Cu, Cr, Cd, Fe, Ni and Zn), had been developed depending on dynamics behavior of the process. The pH value of wastewater is change by addition chemicals (lime or Na 2 S). The semi-batch pH process system dynamically behaved as a first order lag with dead time. The tuning of control parameters was carried by several methods; Internal Model Control (IMC), Minimum (ITAE) criteria and Adaptive mode. Since the process was fast, the Integral of Absolute of Error (IAE) criteria was used to compare between the above tuning methods. Adaptive control was the best and effective to determining the values of proportional gain (Kc), Integral time constant (τ I) and Derivative time constant (τ D).PI mode was found to be the best for control the fast pH process.