<p>In this paper, a novel approach to nonlinear control of induction machine, recursive on-line estimation of rotor time constant and load torque are developed. The proposed strategy combines Integrated Backstepping and Indirect Field Oriented Controls. The proposed approach is used to design controllers for the rotor flux and speed, estimate the values of rotor time constant and load torque and track their changes on-line. An open loop estimator is used to estimate the rotor flux. Simulation results are presented which demonstrate the effectiveness of the control technique and on-line estimation.</p>
In-situ efficiency determination of working motors in an industrial plant, if done non-intrusively, is less expensive than laboratory tests, which need disconnection of the motors from the loads. This paper presents a new approach to non-intrusive in-situ efficiency determination of an induction motor. By monitoring the input voltages, the input currents, the input power and the motor speed, an equivalent circuit based optimization process using the Genetic Algorithm calculates the motor efficiency. The convergence and the precision have been improved by taking into account several load points in the objective function, as well as the temperature dependency of the stator and rotor resistances. A sensitivity analysis of the method to parameter changes is also presented. Experimental results confirm the validity of this method.
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