Adaptive nonlinear observer augmented by radial basis neural network for a nonlinear sensorless control of an induction machine
by Mourad Boufadene; Mohammed Belkheiri; Abdelhamid Rabhi
International Journal of Automation and Control (IJAAC), Vol. 12, No. 1, 2018

Abstract: 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.

Online publication date: Wed, 13-Dec-2017

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