An algorithmic approach based PSO-PID tuning of a real time conical tank process used in waste water treatment

Waste water treatment plant has become increasingly popular in many industrial and institutional sectors, to reduce water and soil contamination. Conical tank plays a vital role in the waste water treatment plant; it is very difficult to control the level of the conical tank as it has a non-linear property of changeable diameter and size. Hence, it needs a refined method to control the process and the most trustworthy one is using the Proportional Integral Derivative (PID) Controller. The PID controller is the standard feedback control tool and it makes up 90% of automatic controllers in process industries and is also the keystone for many advance control algorithms and strategies. For controlling the PID Controller, many tuning rules have been framed. However conventional PID controller offers suitable tuning but it does not provide an optimal tuning. In this paper we recommended the particle swarm optimization as an optimal tuning method.