Abstract

In this paper a problem of energy optimization of a Double Stator Induction Motor (DSIM) is considered. Using the concept of a Rotor Field Oriented Control (RFOC); the DSIM Blondel-Park model is used as dynamic constraints in an optimal control problem. A cost function consists of linear combination of magnetic energy, copper losses and mechanical power is minimized. From the Particle Swarm Optimization (PSO) algorithm, a time-varying expression of a minimum-energy rotor flux is obtained. Compared to the constant rotor flux approach, it is proved that higher performances are achieved. The simulation results show the satisfactory behavior of the proposed identification algorithm.