Level control of three-tank system using intelligent techniques

In process control industries, different physical parameters like flow, pressure, temperature and level are important parameters to be controlled. In that, liquid-level control in process tanks is one of the complex problems in process control industries. A three-tank-level control system can help control system engineers to analyse both interacting and non-interacting cases in a system. In the proposed work, three-tank systems are intended to maintain the level of the third tank at some predefined value irrespective of changes in inflow to first tank. In this paper, neural network controller and PI-based fuzzy controller are used for optimising the output. The performances of both the controllers are compared with that of the conventional PI controller.