Design an intelligent controller for a process control system

Process control is one of the important problems in today industries. Precise control of level, temperature, pressure and flow is important in many process applications. Now a day's PID controllers have found wide acceptance and applications in the industries. The main objective of this work is to improve the performance of PID controller of water tank system consists of various sensors /transducers used for measurement of process variables such as level, flow, pressure and temperature. These systems normally found in food and drink manufacturing, petrochemical production, water purification, sewage processing and many other area of industry. The Performance of the PID controller can be improved using various soft computing techniques such as Genetic Algorithm (GA), Artificial Neural Network (ANN), Particle Swarm optimizations (PSO), Fuzzy logic controller (FLC), In this paper GA and PSO used to improve the performance of the water tank system using gain optimization.