Intelligent Controller for Optimal Coagulant Dosage Rate in Water Treatment Process

Modelling of coagulant dosage in a water treatment plant

Abstract: Artificial Neural Network (ANN) techniques are applied to the control of coagulant dosing in a drinking water treatment plant. Coagulant dosing rate is non-linearly correlated to raw water parameters such as turbidity, conductivity, pH, temperature, etc. An important requirement of the application is robustness of the system against erroneous sensor measurements or unusual water chara...

Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process

During the milling process, one of the most important factors in reducing tool life expectancy and quality of workpiece is the chattering phenomenon due to self-excitation. The milling process is considered as a MIMO strongly coupled nonlinear plant with time delay terms in cutting forces. We stabilize the plant using two independent Emotional Learning-based Intelligent Controller (ELIC) in par...

Electrolytic Aggregation Treatment without Coagulant Dosage for Retentate

Intelligent Controller for Temperature Process

The goal of any temperature controller design is to keep the temperature of the target device on the desired value defined by the user as accurately as possible and using as little energy as possible. . The very control of temperature can be achieved by causing heater power to be simply switched on and off according to an under or over temperature condition respectively. Ultimately, the heater ...

Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models

A common step in most of water treatment plants is the chemical coagulation. The chemical coagulation is the process of destabilizing the colloidal particles suspended in raw water by the addition of coagulants. Generally, the determination of the quantity of coagulant to be added to water is made manually by jar tests. However, the manual control has slow response to changes of raw water and i...