Predictive rotor flux control for efficient dynamic operation of induction machines

Autonomous driving electric vehicles will require energy-efficient and cost-effective electric drives. The main task of the control system is to secure the required torque. With a field-orientation induction machine drive, the torque Te depends on the number of pole pairs Zp, the q-axes stator current I1q, and the rotor flux linkage Ψ2. There are two degrees of freedom to adjust the output. The simplest way is to keep the rotor flux constant and alter the stator current in the steady-state [1]. However, the dynamic optimization problem is more complicated since the vehicle’s electric drive constantly changes its operating conditions in real road traffic.