Parameters estimation of permanent magnet synchronous machine without adding extra-signal as input excitation

In advanced motor control system, an accurate knowledge of motor parameters is essential in order to achieve a good performance. Some of these parameters, such as stator resistance are given by constructors, but they vary in different operating conditions. The purpose of this paper is to present an efficient dynamical identification method to estimate parameters of a permanent magnet synchronous machine (PMSM). Using this method, we can determine these parameters during different operating conditions. This method has been simulated and implemented in an experimental test bench using a dSpace board and obtained results proved the validity and efficiency of proposed method. Physical parameters estimation of a dynamical 3-parameter model thanks to dynamical measurements is performed using an output error algorithm based on non linear optimisation. Simulations results show that, if PMSM is fed by a PWM inverter, no extra-signal, such as a pseudo random binary sequence (PRBS) adding on speed reference in vector control of PMSM, is necessary to excite the machine to assure identification algorithm convergence. However an extra-signal is a disturbance in respect to the machine running.