AN IMPROVED OPTIMIZATION TECHNIQUE FOR NETWORK CONTROLLED pH PROCESS AND DC MOTOR USING VARIOUS CONTROLLERS

Abstract

ABSTRACT Networking has become the paradigm in many of the control industries, to control and diagnose the parameters or the machines. The networked environment is connection of different machines/components connected through a standard medium to transfer and receive data to monitor or control based on the application required in the environment. Generally the processes in industries are classified as the linear process and non-linear process where the classification is based on the information fetched. Linear process are generally controllable process where the errors or the problems occurred are known, whereas in the non-linear process generate random errors which are uncontrollable. In this paper two different systems such as pH process and DC motor is considered for networked control, where pH is a non-linear system and DC motor is a linear system. Majority of the industries work using the water as their main source for the manufacturing. Waste water treatment is a major issue where the quality of the waste water is connected with the pH value measured in the water. Most of the industries use DC motor to run their machines for different applications. Control of DC motor for multiple applications is considered as a difficult process where all the motors are to run at the same speed. Therefore to control both pH and DC motor Networked Control System is proposed to connect the process with the controllers. The proposed system has been concluded that Fuzzy Logic Controller under the networked environment has shown better results where the settling time and overshoot of pH and DC motor has been is 60 seconds & 0% and 8 seconds & 5.3% respectively, compared with the other controllers.