Nonlinear fault tolerant control based parameter estimation diagnosis: Application to induction motors

Abstract

The fault diagnosis and prediction of electrical machines and drives has become of importance because of its great influence on the operational continuation of many industrial processes. Correct diagnosis and early detection of incipient faults avoids harmful, sometimes devastative, consequences. In this work, on the basis of a model of an induction motor, we study the detection of broken rotor bars problem using residual generators based in moving horizon estimator of the rotor resistance and the reconfiguration action where the failure events are detected by jumps in the estimated parameter values of the model. The estimated parameter is introduced in the control law which based on input-output linearizing feedback control in order to reconfigure the control law and compensate the fault effect. Simulation experiments in terms of speed response show the applicability of the proposed approach to induction motor subject to faulty conditions caused by a broken rotor bar.