Adaptive nonlinear observer augmented by radial basis neural network for a nonlinear sensorless control of an induction machine

This paper presents adaptive neural network nonlinear observer associated with a sensor less nonlinear feedback linearisation controller for induction machine. The proposed observer is used to estimate the mechanical speed using the stator currents measurements and the supplied input voltages; whereas the load torque (unknown disturbance) is estimated using online radial basis neural network function approximation. The stability of the proposed controller-observer is achieved using Lyapunov function. Hence, simulation results have been performed under MATLAB/Simulink shows clearly the performance of the proposed algorithm.

[1]  R. Marino,et al.  Adaptive input-output linearizing control of induction motors , 1993, IEEE Trans. Autom. Control..

[2]  John Chiasson.  Nonlinear controllers for an induction motor , 1996 .

[3]  S. Sastry.  Nonlinear Systems: Analysis, Stability, and Control , 1999 .

[4]  Abderrahmane Bouhenna,et al.  Powerful nonlinear observer associated with field-oriented control of an induction motor , 2004 .

[5]  Matthew W. Dunnigan,et al.  A new non‐linear sliding‐mode torque and flux control method for an induction machine incorporating a sliding‐mode flux observer , 2004 .

[6]  E.G. Strangas,et al.  Sensorless speed control of induction motors , 2004, Proceedings of the 2004 American Control Conference.

[7]  A.F. Payam,et al.  Robust Speed Sensorless Control of Doubly-Fed Induction Machine Based on Input-Output Feedback Linearization Control Using a Sliding-Mode Observer , 2006, 2006 International Conference on Power Electronic, Drives and Energy Systems.

[8]  K. Abed,et al.  SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER , 2008 .

[9]  Ahmed Massoum,et al.  Exact Linearization of an Induction Machine with Rotoric Flux Orientation , 2008 .

[10]  Arif Iqbal,et al.  Sensorless control of a vector controlled three-phase induction motor drive using artificial neural network , 2010, 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India.

[11]  Youcef Bekakra,et al.  Speed Control of a Doubly Fed Induction Motor using Fuzzy Logic Techniques , 2010 .

[12]  Nadia Akkari.  CONTRIBUTION A L’AMELIORATION DE LAROBUSTESSE DE LA COMMANDE D’UNEMACHINEASYNCHRONE A DOUBLE ALIMENTATION , 2010 .

[13]  Antonella Ferrara,et al.  Sliding mode observers for sensorless control of current-fed induction motors , 2011, Proceedings of the 2011 American Control Conference.

[14]  Andreas Mueller.  Recent Advances in Robust Control - Novel Approaches and Design Methods , 2011 .

[15]  M. Dybkowski,et al.  Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator , 2012 .

[16]  Cherifi Djamila,et al.  Simultaneous Estimation of Rotor Speed and Stator Resistance in Sensorless Indirect Vector Control of Induction Motor Drives Using a Luenberger Observer , 2012 .

[17]  Tao Zheng,et al.  Frontiers of Model Predictive Control , 2012 .

[18]  Xiaona Song,et al.  Sliding mode control with disturbance observer for a class of nonlinear systems , 2012, Int. J. Autom. Comput..

[19]  P. Alkorta,et al.  A robust position control for induction motors using a load torque observer , 2012, 2012 20th Mediterranean Conference on Control & Automation (MED).

[20]  Mechernene Abdelkader,et al.  Adaptive Speed Observer using Artificial Neural Network for Sensorless Vector Control of Induction Motor Drive , 2012 .

[21]  Henk Nijmeijer,et al.  Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters , 2009, Autom..

[22]  M. Suryakalavathi,et al.  Estimation of Rotor Flux using Neural Network Observer in Speed Sensorless Induction Motor Drive , 2013 .

[23]  Guido Herrmann,et al.  Adaptive Observer-Based Parameter Estimation With Application to Road Gradient and Vehicle Mass Estimation , 2014, IEEE Transactions on Industrial Electronics.

[24]  Pavel Brandstetter.  Sensorless Control of DC Drive Using Artificial Neural Network , 2014 .

[25]  Abolfazl Halvaei Niasar,et al.  Sensorless Direct Power Control Of Induction Motor Drive Using Artificial Neural Network , 2014 .

[26]  Tae-Yong Kuc,et al.  An adaptive learning controller for MIMO uncertain feedback linearizable nonlinear systems , 2015 .

[27]  Boubakeur Zegnini,et al.  Feedback linearisation control of an induction machine augmented by single-hidden layer neural networks , 2016, Int. J. Control.