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Scalar control of an induction motor using a neural sensorless technique

2013; Elsevier BV; Volume: 108; Linguagem: Inglês

10.1016/j.epsr.2013.11.020

1873-2046

Tiago Henrique dos Santos, Alessandro Goedtel, Sérgio Augusto Oliveira da Silva, Marcelo Suetake,

Iterative Learning Control Systems

The induction motor plays a key role in many industrial sectors, primarily due to its robustness and low cost. When the load coupled to the motor axis requires speed control, some of the drive and control strategies are based on the estimated axis speed of the motor. The direct measurement of this quantity reduces its robustness and increases the driver implementation cost. This paper proposes an alternative methodology for estimating the speed of a three phase induction motor driven by a voltage source inverter, using space vector modulation under the scalar control strategy and based on artificial neural networks. To validate the performance of the proposed method under motor load torque and speed reference set point variations, simulation and experimental results are presented.