ADVANCES IN CONTROL TECHNIQUES AND PROCESS ANALYSIS WITH LAB VIEW AND DCS

In process control application, automatic controllers are introduced. The most widely used industrial controller is the PID (Proportional-Integral-Derivative) controller. Here the tuning of PID controller is done using Ziegler-Nichols method. For the multi variable process and for the chemical industries the IMC (Internal Model Control) controller is used. IMC bas become the leading form of advanced control in the process industry. In this paper the proposed method uses both. (i.e.) IMC Based PID controller. Here is to develop a IMC and IMC Based PID controller for the temperature process. Since temperature is a highly non-linear process. An IMC and IMC Based PID are designed. The modeling of the physical system are presented using different control tuning techniques and applied for the regulation of the process. The structure of the models has been implanting using LabVIEW software. The different controllers are included in this paper (PID Z-N, IMC and IMC Based PID) the performance analysis of models is examined. Among these three control schemes, IMC Based PID regulated with minimum rise time, settling time and overshoot. The real time application is implemented for this paper by continuous monitoring the process in SCADA (Supervisory Control and Data Acquisition), analyzing the process on LabVIEW, and controlling the overall process by using DCS (Distributed Control System), and communicating this with OPC SERVER.