A Sliding Mode Control Scheme for Induction Motors Using Neural Networks for Rotor Speed Estimation

This paper tackles the problem of the speed control of an induction motor in a very general sense. On the one hand, the power of feedforward artificial neural network to capture and emulate detailed nonlinear mappings is used to implement a rotor speed estimator, and on the other hand a robust control strategy based on the sliding-mode controller type is performed. The proposed control scheme also make use of the field oriented control theory to simplify the proposed control design. The stability analysis of the presented control scheme under parameter uncertainties and load disturbances is provided using the Lyapunov stability theory. Finally simulated results show that the presented controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances. keywords: Neural Netwoks, Induction Motor Control, Robust Control, Modelling, Simulation.