Application Of Simulated Kalman Filter Algorithm In Tuning PID Controller’s Parameters For Coupled Tank System

Hassan, Rabiatul Nurelissa (2018) Application Of Simulated Kalman Filter Algorithm In Tuning PID Controller’s Parameters For Coupled Tank System. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (24 Pages) Application Of Simulated Kalman Filter Algorithm In Tuning PID Controller’s Parameters For Coupled Tank System.pdf - Submitted Version Download (524kB)

Abstract

In today’s world,the application of couple tank system, become an inescapable part specifically in chemical process industries where it was met out the expanding process technologies requests.The world interest in process industry technologies is continually expanding when the couple tank system becomes popular in classical benchmark control problem due to the behavior of the non-linear and non-minimum phase characteristic.Furthermore, the flow process and liquid level in the tanks become the main issue where the system required the liquid to be pumped,kept in the tank and then driven to another tank automatically.Hence,the proposed of this project by optimal PID parameters in order to controlling the 10cm of the desired water level and steady state,transient response of coupled tank system using the Simulated Kalman Filter optimization.Analysis on the relationship between the number of Kalman agents versus number of iterations is done.The result obtained was benchmarked with previous literature.The findings show that Simulated Kalman Filter performs better in coupled tank system compared to Particle Swarm and Priority based Fitness Particle swarm optimization.

Actions (login required)

View Item