Computational Analysis of PID and PSO-PID Optimization for MIMO Process Control System

Water level control in MIMO coupled interactive tank seems to be an important aspect of application and the development of process control techniques. Monotonous and precise level measurement can avoid such tragedies. Process control problem has been defined in this paper. PSO-PID controller has been designed as a solution to the water level process control problem. Identification of mathematical model methodology is more beneficial for water level control in coupled tank MIMO system. Observing open loop reaction of the approach can be the first step of system identification. System identification may be used for scrutinizing the actual parameters of the interacting tanks. State-space analysis of coupled tanks is explained in detail along with its transformation into transfer function. In this paper, inherent constraints necessary to do the calculation are discussed. MATLAB is utilized for monitoring the responses. Observations from the PID controller articulate that there is a need for a better controller to enhance the performance. PSO algorithm used for optimization is a novel structure that improves PID performance. The optimization tools used in this paper gives a promising result and a good insight about selection of appropriate one. A detailed explanation of optimizing PID parameters using a PSO-PID controller is specified. Computational analysis along with its discussion is presented in this paper.