AC machines are applied in actuator systems for many applications. The development of fast processors open up the possibilities to apply new techniques for identification and control of electrical drives in real-time, so as to improve and optimize their performances. The paper presents a systematic approach to identify the physically relevant parameters of an AC machine. Special attention is paid to the identification of these parameters, without differentiating the measured voltages and currents. This approach allows the use of high sampling rates necessary to apply identification in real time. The approach is applicable for electrical machines but can be extended to other classes of electro-mechanical actuators. The simulation studies performed in the paper highlight the improvements of the new outlined approach over existing identification methods under realistic operation conditions where the test signals are generated by the power source (inverter) in an uncomplicated way.
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