Particle swarm optimisation applied to real time control of spherical tank system Online publication date: Mon, 22-Sep-2014
by C. Priya; P. Lakshmi
International Journal of Bio-Inspired Computation (IJBIC), Vol. 4, No. 4, 2012
Abstract: This paper focuses on the development and real time implementation of an intelligent optimisation method based on particle swarm optimisation (PSO) for the control of liquid level in a spherical tank. Control of liquid level in spherical tank is highly non-linear due to the variations in the area of cross section of the level system with height. System identification of the non-linear process is done using black box modelling and found to be first order plus dead time (FOPDT) model. Initially proportional integral (PI) controller based on Ziegler Nichols (ZN) settings is designed, the results are compared with internal model control (IMC) based on Skogestad's settings and PSO-based PI controller. The robustness of all the controllers is validated by imposing both servo and regulatory disturbances. The real time implementation of the process is done in Labview using USB-based DAQ module. Better controller performance can be envisaged by in the proposed methods using IMC-based PI controller and PSO-based PI controller than that of the ZN tuned PI controller.
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