Sensorless control of induction machines by combining fundamental wave models with transient excitation technique

In industrial applications, when high dynamic performance is required, the induction machine is operated under field oriented control. This implies the knowledge of the machine main flux position at any time instant. In practical operation, the flux is calculated with mathematical models considering only the fundamental wave behavior of the machine. To maintain a stable operation of such a scheme even at zero electrical frequency, the rotor position has to be known, measured by a mechanical rotor shaft sensor. Many sensorless control methods have been suggested to omit this sensor since it decreases the drives reliability and increases the costs. Sensorless schemes using fundamental wave models are based on a voltage integration. They show a good performance at high speed but fail at low and zero electrical frequency due to the low signal to noise ratio and parameter uncertainties. Other methods are evaluating parasitic effects in the machine response to a transient or high frequency excitation. This allows a calculation of the flux- or rotor position independent from the fundamental frequency. The approach given in this paper attempts to combine both methods to provide an excellent performance of the sensorless control scheme in the whole frequency range. Therefore, the fundamental wave model is stabilized at low frequencies by a method using a transient excitation method

[1]  R. Lorenz,et al.  Using multiple saliencies for the estimation of flux, position, and velocity in AC machines , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[2]  Jung-Ik Ha,et al.  Sensorless field orientation control of an induction machine by high frequency signal injection , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[3]  Robert D. Lorenz,et al.  Using multiple saliencies for the estimation of flux, position, and velocity in AC machines , 1997 .

[4]  Th.M. Wolbank,et al.  Combination of signal injection and neural networks for sensorless control of inverter fed induction machines , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[5]  M. Schroedl,et al.  Sensorless control of AC machines at low speed and standstill based on the "INFORM" method , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[6]  H. Hauser,et al.  Interaction of induction machines fundamental wave design and asymmetries in the transient electrical behavior caused by saturation , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).