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Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor

by S. Meziane, R. Toufouti, A. Merabet, H. Benalla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 4
Year of Publication: 2012
Authors: S. Meziane, R. Toufouti, A. Merabet, H. Benalla
10.5120/8882-2874

S. Meziane, R. Toufouti, A. Merabet, H. Benalla . Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor. International Journal of Computer Applications. 56, 4 ( October 2012), 37-43. DOI=10.5120/8882-2874

@article{ 10.5120/8882-2874,
author = { S. Meziane, R. Toufouti, A. Merabet, H. Benalla },
title = { Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 4 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number4/8882-2874/ },
doi = { 10.5120/8882-2874 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:01.948597+05:30
%A S. Meziane
%A R. Toufouti
%A A. Merabet
%A H. Benalla
%T Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 4
%P 37-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper present a new advanced control algorithm based on continuous minimization of predicted tracking errors, to achieve torque, rotor speed and rotor flux amplitude tracking objectives. This algorithm called a new Adaptive Nonlinear Predictive Control to induction motor drive uses a combination of the adaptive observer for rotor flux and Cascaded Nonlinear Predictive Control technique. The variables to be controlled are the rotor speed and the rotor flux norm, required to implement the predictive control algorithm is estimated by flux observer. The parameters identified adaptively are stator and rotor resistance which vary with motor temperature using the adaptive rotor flux observer. A stability of the proposed adaptive flux observer will be proved by the Lyapunov's theorem. Simulations are carried out in order to show the effectiveness of the drive and the robustness to parameters variations.

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Index Terms

Computer Science
Information Sciences

Keywords

Cascaded Nonlinear Predictive Control Nonlinear Control Induction Motors Adaptive Flux Observer

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