Speed and flux observer based on adaptive linear neuron for induction motor

Liangbin Liu; Deyu Liu

Speed and flux observer based on adaptive linear neuron for induction motor

Liangbin Liu

Deyu Liu

Vol. 23, No. 9, pp. 1379-1388, Sep. 2023

10.1007/s43236-023-00675-3

Abstract

The robustness and economy of the induction motor drive system can be improved by a high-precision observation algorithm instead of an encoder. Such an algorithm is adopted to obtain the speed and flux linkage of the induction motor. In this paper, an adaptive linear neuron speed digital observer for the induction motor is proposed. First, discrete voltage and current models are established. Then, a novel speed and rotor flux digital observer based on the adaptive linear neuron with less calculation complexity is presented. This observer contains a hidden layer and two input signals that can work with the rotor flux error and the deviation of the error. The adaptive learning method of the weight coefficients described by the difference equation is presented. Finally, a simulation and an experiment are conducted to certify the correctness and effectiveness of the proposed adaptive linear neuron speed digital observer.

Statistics

Show / Hide Statistics

Cumulative Counts from September 30th, 2019
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]

L. Liu and D. Liu, "Speed and flux observer based on adaptive linear neuron for induction motor," Journal of Power Electronics, vol. 23, no. 9, pp. 1379-1388, 2023. DOI: 10.1007/s43236-023-00675-3.

[ACM Style]

Liangbin Liu and Deyu Liu. 2023. Speed and flux observer based on adaptive linear neuron for induction motor. Journal of Power Electronics, 23, 9, (2023), 1379-1388. DOI: 10.1007/s43236-023-00675-3.