Author : P Aravind, S.Ramachandran and M.Saranya

System identification and controller tuning are important to get a stable control system in process industries. In the proposed work, real time flow process is taken into account and process parameters are identified as First Order Plus Dead Time Model by step test method and is validated, proposed for controller design. The work focused on the development and implementation of optimization technique to obtain PID controller settings. Values of PID controller are obtained based on Internal Model Control technique and Particle swarm optimization technique. Performances of the controllers are evaluated on the basis of time domain analysis and error criterion analysis. The robustness of the controllers is validated by imposing both servo and regulatory disturbances. Best controller performance can be envisaged by the proposed methods using PSO based PID controller settings than IMC tuned PID controller.

Keywords: PSO, Internal Model Control, PID controller, Flow Process , LabVIEW.

Article published in International Journal of Current Engineering and Technology, Vol.4, No.6 (Dec-2014)