Multimodel Control and Fuzzy Optimization of an Induction Motor

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