Robust Sensorless Control Strategy with Enhanced Dynamics

A new sensorless control strategy applied to nonlinear system has been developed in order to reach better dynamic performances. Indeed in current sensorless control strategies, the speed of the control is limited by the speed of the estimation of the state variables. The main asset of this new control strategy is to determine the control vector in parallel of the estimation of the state variables, which allows the control dynamics to get closer to the dynamics of the estimation. Compared to a classic control strategy put afterwards the variable estimation performed with an extended Kalman filter, this new strategy presented in this paper shows good results.