Abstract

The purpose of this study was to develop a neural network based on real-time control system for fluid level in a given tank. The tank has an I shape with a circular cross sectional area varying across the I shaped profile height. The simulated I shaped tank has a height of 12 meters and divided into three sections. Each of the sections has a height of four meters. The tank is demarcated into water level marks from O m to 12 m at intervals of 1 each. An ANN is designed and developed for real-time control of water level in the tank. The goal was to enable a smooth change in target level at a constant rate of change inspite of the two nonlinearity points introduced by the I shaped structure of the tank, after a certain amount of uncontrolled output flow has occurred. >

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.