Analysis of different control strategies for differ
ent industrial processes using SIMULINK

Abstract

This project work analyses the different control strategies for different types of industrial process systems. The design and implementation of these processes are done in the SIMULINK software. Firstly, we need mathematical models of the systems before the analysis of processes. For this we generally use Laplace transfer and linearization which is carried out in each and every system considered in this project work. We have distinguished higher order systems on the basis of Non-interacting & Interacting system. In level process, a single-tank, a two-tank, and three-tank systems are analyzed. The objective of these systems is to maintain the process liquid at a desired level or change it at a pre-determined rate by controlling and using the manipulated variables. This project work also focusses on the various PID controller design methods such as Zeigler-Nichol method, Cohen-Coon method, Tyreus-Luyben method, Internal Model Control (IMC) and Minimum error criteria (IAE, ISE) method. The performances of the PID tunings methods for the different control strategies are also used to compare different processes. The implementation of IMC based PID controller for handling unstable processes with dead time (SOPTD) is also done. SIMULINK in MATLAB is used to simulate all these processes. The response curves of these systems are generated to different forcing functions.