Off-line identification of the electrical parameters of an industrial servo drive system

This paper presents a step-by-step method for identifying the electrical parameters of an industrial servomotor drive system at standstill. The servomotor drive system consists of a voltage source inverter and an induction motor. The inverter nonlinearity caused by the turn-on/off time dependency of the current level in the switching transistors is described. The fact that no phase voltage detection for the identification scheme is available leads to a nonlinear mathematical model of the induction servomotor drive system at standstill. This model also includes the saturation effect. With this process model, a three step method is deduced to obtain the stator and rotor resistance, the leakage inductance and the mutual inductance as a function of the magnetizing current. Practical results which are obtained with an industrial induction servomotor drive system are also presented.

[1]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[2]  Peter Vas,et al.  Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines , 1993 .

[3]  Mark Sumner,et al.  Self-commissioning for voltage-referenced voltage fed vector controlled induction motor drives , 1992, PESC '92 Record. 23rd Annual IEEE Power Electronics Specialists Conference.

[4]  Werner Leonhard.  30 Years Space Vectors, 20 Years Field Orientation, 10 Years Digital Signal Processing with Controlled AC-Drives, a Review (Part 1) , 1991 .

[5]  N.R. Klaes.  Parameters identification of an induction machine with regard to dependencies on saturation , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[6]  R.S. Colby,et al.  Simplified model and corrective measures for induction motor instability caused by PWM inverter blanking time , 1990, 21st Annual IEEE Conference on Power Electronics Specialists.

[7]  H. Grotstollen,et al.  A new self-commissioning scheme for an asynchronous motor drive system , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.