DESIGN OF NEURAL NETWORK PREDICTIVE CONTROLLER FOR A QUADRUPLE TANK SYSTEM

DESIGN OF NEURAL NETWORK PREDICTIVE CONTROLLER FOR A QUADRUPLE TANK SYSTEM
Author(s):
SARANYA BALACHANDRAN M, T. Anitha
Keywords:
Quadruple tank system, MPC, Neural Network
Abstract
The processes in most of the industries are highly non-linear and dynamic. The quadruple tank system is a benchmark system used to analyse the nonlinear effects in a multivariable process. The quadruple tank process is thus used to demonstrate coupling effects and interactions occurring in multivariable control systems. This project presents a neural network predictive controller for a quadruple tank system. The process data will be obtained from the mathematical model of the laboratory scale experimental setup. The model obtained from training the system via neural network will be used in controlling the quadruple tank by neural network predictive controller. The simulation results will be compared with the closed loop response and constrained and unconstrained model predictive control algorithm results.
Article Details
Unique Paper ID: 143334 Publication Volume & Issue: Volume 2, Issue 10 Page(s): 159 - 164
Article Preview & Download

Share This Article

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org