Controller optimization for a single tank liquid level system

The prime motto of process control is to uphold a process at the preferred operating states safely and proficiently and also meeting out the environmental and product quality standards. The term “process” denotes an arrangement or a facility that needs to be regulated. It could be a chemical process like digesters, CSTR, thermal mixers, reactors, liquid level controlled feed water tanks etc., Kkeeping track of certain system throughput variables, such as heating rate, pressure gradient, and tank level, etc., is crucial if the plant is to be automated. Depending on the application selected, it is possible for the controlled technique to be incremental or sustained.. In this study, a typical first order tank is taken into account. A controller's design is extremely complex because it calls for nonlinear variations in the parameters. Process control techniques like feedback, feed forward, ratio control are frequently used. The level of the tank is kept close to the set point value using a conventional PID controller. The transfer function model is gleaned from the fundamental concepts.. The tuning methodology adopted are Ziegler -Nichols tuning and Genetic algorithm based method. Time domain quality factors like peak response, rise time, and settling time are determined and compared. It is proven that GA tuned controller optimises the settling of the level of the fluid in the tank