Adaptive torque control of Permanent Magnet Synchronous Motors in automotive applications

In this paper, an adaptive torque control scheme for Permanent Magnet Synchronous Motors (PMSM) used in automotive applications is presented. The proposed algorithm relies on stator currents and rotor speed measurements and achieves global asymptotic convergence of the torque to its desired time-varying reference. The appealing feature of the proposed scheme is that little information about the motor to control is required, since the main physical parameters are estimated online. In order to make the scheme robust to stator resistance and magnetic flux variations due to temperature changes, a nonlinear estimator is designed to asymptotically estimate the unknown parameters. Moreover, a novel approach to estimate the saliency parameters and the position at standstill is also proposed. The relevancy of the proposed strategy is verified via both simulation and experimental results.