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Parameter identification of induction motor model using genetic algorithms

Parameter identification of induction motor model using genetic algorithms

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The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms. It is supposed that the inverter supplying the motor is directly accessible for control of the conduction sequences of its power switches. This makes it possible to carry out a test consisting of a transient from standstill to steady-state operation at a given frequency and successive free motion to standstill. During this test, data are acquired referring to stator voltages, and currents and speed. Then, a genetic algorithm is employed with the aim of determining the mechanical and electrical parameters of the model, so as to reproduce the input-output behaviour of a real open-loop system.

Inspec keywords: induction motors; parameter estimation; machine theory; genetic algorithms

Other keywords: parameter identification; stator voltage; inverter; stator current; induction motor; machine model; open-loop system; genetic algorithms; rotor speed

Subjects: Asynchronous machines; Optimisation techniques; Optimisation techniques; Simulation, modelling and identification; Control of electric power systems

References

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