High robustness and reliability of a fuzzy logic based angle estimation algorithm for practical switched reluctance motor drives

In this paper the high robustness and reliability of a fuzzy logic based angle estimation algorithm for the switched reluctance (SR) motor is described. The sensorless algorithm is used to control motor drives without a position sensor. However, in applications where motor drives are used, the reliability of the drive is of utmost concern. Therefore, the estimation algorithm must be proven to have a high robustness and reliability. By using a fuzzy logic motor model, as well as fuzzy logic based prediction and decision algorithms, the sensorless scheme has a high tolerance to noise and errors. To demonstrate this, it is shown in this paper using experimental results, that the angle estimation scheme has a high level of robustness and reliability, and is thus well suited to a wide range of systems. An analysis is also given in this paper of the sources of error that can affect the angle estimation accuracy in practical motor drives