A Study on BFO Algorithm based PID Controller Design for MIMO Process using Various Cost Functions

Abstract

Background/Objectives: The objective of this paper is to design a decentralised PID controller for MIMO process model using Bacterial Foraging Optimization (BFO) algorithm using three different cost functions. Methods/Statistical analysis: In this work, each decentralised PID controller is separately designed for the top product loop and bottom product loop. The proposed method is tested on Wood and Berry (WB) model and Wardle and Wood (WW) model. A comparative study is presented on the considered cost function using the quality measure values, such as ITSE, ITAE, number of iteration and CPU time taken for the simulation. Findings: The result confirms that, all the cost function based approaches offers similar result. Application/Improvements: In future, this method can be tested using some most successful heuristic algorithms existing in the literature.