Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
Journal Home Volume Issue |
||||||||
Issue |
Volume-9,Issue-1 ( Jan, 2021 ) | |||||||||
Paper Title |
Optimization of Multivariable System Control Using Neural Network-Based Control | |||||||||
Author Name |
Hamid Alshareefi, Ciprian Lupu, Laith Ismail, Lich Duc Luu | |||||||||
Affilition |
Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania | |||||||||
Pages |
28-32 | |||||||||
Abstract |
This paper shows the improvement of controller designing for a multivariable system, through the implementing and testing in real-time the classical methods for controlling the nonlinear multi-input multi-output system (MIMO), where the decentralized strategy, the proportional-integral-derivative controller (PID) used and the advanced method where the dynamic decoupling approach implemented and tested in real-time and the proposed strategy by using intelligent controller where the neural network-based internal model controller (DIC) and internal model controller (IMC) are concisely described and tested in real-time. A short study of the advantages and disadvantages of the proposed strategy compared with the classical strategies. The whole software algorithms were designed and tested in real-time by NI LabVIEW software. Keywords - Multivariable System, Decentralized Strategy, Dynamic Decoupling, Neural Network, LabVIEW. | |||||||||
View Paper |