Paper
Optimal PID Controller Tuning for IPTDZ Plant Model Using Particle Swarm Optimization (PSO)
- Authors:
- Mallela Rajesh Babu
- Abstract
- In this paper, an industrial paper plant model was approximately modelled as integrator pole time delay zero (IPTDZ) plant model. The IPTDZ model described the dynamics of the steam valve to steam pressure in an industrial paper plant. In this paper, a new set of optimal PID controller parameters were obtained for the IPTDZ plant model for setpoint regulation and disturbance rejection using dimensional analysis and the PSO optimization technique. These control parameters were designed to reject disturbances and take action to force the process variable back toward the desired setpoint whenever a disturbance or load on the process caused a deviation. Dimensional analysis is a problem-solving method that uses any number or expression that can be multiplied by one without changing its value. It is a useful technique for obtaining relationships between PID parameters. Particle swarm optimization (PSO) is a computational method that optimizes problems by iteratively improving a candidate solution with regard to a given measure of quality. This paper showed how to obtain optimal PID controller parameters for load disturbance rejection and setpoint regulation by minimizing integral square time error (ISTE) performance index in an IPTDZ plant model. Simulation results were presented to validate the proposed method in comparison to the Ola Slätteke (OSK) method.
- Keywords
- PID Controller; Integrator Pole Time Delay Zero (IPTDZ) Model; Integral Squared Time Error (ISTE); Load Disturbance; Ola Slätteke (OSK) Design; Setpoint Regulation; Dimensional Analysis; Particle Swarm Optimization (PSO)
- StartPage
- 84
- EndPage
- 94
- Doi
- 10.18005/JCSE0401009