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Classical indirect field-oriented control is highly sensitive to uncertainties in the rotor resistance of the\udinduction motor. This sensitivity can be reduced by combining two different methods to compute the stator\udelectrical frequency. Fuzzy logic is used to combine both methods to obtain a compromise which reduces the\udflux control sensitivity to electrical parameter errors at each operating point. The design of the fuzzy logic\udblock is based on a theoretical sensitivity analysis taking magnetic saturation into account, in simulations. In\udthis paper, the performance of the proposed control algorithm is theoretically studied. The predictions are\udvalidated by considering the stator current variations, to develop a given steady-state torque, induced by the\udimperfect flux control.\u

Multimodel Control and Fuzzy Optimization of an Induction Motor