Abstract
In this paper, maximum efficiency operation of two types of permanent magnet synchronous machine drives, namely* surface type permanent magnet synchronous machine (SPMSM) and interior type permanent magnet synchronous machine (IPMSM), are investigated. The efficiency of both drives is maximized by minimizing cupper 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 speed and load values. Data for training the NNC are obtained through off-line simulations of SPMSM and IPMSM at different operating conditions. The accuracy and fast response of each of the 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. 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.
