Design and implementation of two tank conical interacting system using intelligent technique (PSO)

This paper deals with the modeling and control of highly Non linear system using intelligent technique namely Particle Swarm Optimization (PSO). Control of process or process variable in process industries always employ a non linear system i.e., Two Tank Interacting Conical tank System (TTICS) is to be chosen due to its greater advantage. Conical tank system has varying cross sectional area, and its level (process variable) is constantly changing and exhibits a non linear dynamic behavior and so controlling of this system becomes a challenging problem. So in this proposed work, the mathematical modeling for a TTICS is obtained using real time process data. So for controlling the level of the process for proposed system, the process is tuned using the intelligent technique called Particle Swarm Optimization (PSO) in which it is guided by cost function, which considers the minimization of Integral Square Error (ISE), Integral Absolute Error (IAE) and settling time. It is evident, from the simulation results that the control of level for the process is tracked and its effectiveness is compared based on the various performances indices which has also been tuned using other tuning method like Ziegler Nichols method.