Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network

Mona N. Eskander

Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network

Mona N. Eskander

Vol. 2, No. 3, pp. 220-229, Jul. 2002

10.6113/JPE.2001.02.3.220

Permanent magnet synchronous motor

Loss minimization

Neural network controller

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Abstract

In this paper, maximum efficiency operation of two types of permanent magnet synchronous motor drives, namely; surface type permanent magnet synchronous machine (SPMSM) and interior type permanent magnet synchronous motor (IPMSM), are investigated. The efficiency of both drives is maximized by minimizing copper and iron losses. Loss minimization is implemented using flux weakening. A neural network controller (NNC) is designed for each drive, to achieve loss minimization at different speeds and load torque values. Data for training the NNC are obtained through off-line simulations of SPMSM and IPMSM at different operating conditions. Accuracy and fast response of each NNC is proved by applying sudden changes in speed and load and tracking the NNC output. The drives’ efficiency obtained by flux weakening is compared with the efficiency obtained when setting the d-axis current component to zero, while varying the angle of advance “φ” of the PWM inverter supplying the PMSM drive. Equal efficiencies are obtained at different values of φ, derived to be function of speed and load torque. A NN is also designed, and trained to vary φ; following the derived control law. The accuracy and fast response of the NN controller is also proved.

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Cite this article

[IEEE Style]

M. N. Eskander, "Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network," Journal of Power Electronics, vol. 2, no. 3, pp. 220-229, 2002. DOI: 10.6113/JPE.2001.02.3.220.

[ACM Style]

Mona N. Eskander. 2002. Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network. Journal of Power Electronics, 2, 3, (2002), 220-229. DOI: 10.6113/JPE.2001.02.3.220.