Abstract
The purpose of this paper is to present a sensorless control method for transverse flux linear switched reluctance motor (TFLSRM) based on position estimation by employing a public back propagation neural network (BPNN). The system characterizes with that only one public BPNN is needed to transform the winding current and flux linkage of each phase into each segmental position signal, then final total position is obtained by combining each segmental position signal. The starting position is derived from the comparison of the calculated position values based on currents and flux linkages of all phases. A TFLSRM with three phases is used to verify the validity of the proposed method, the established position sensorless control system with a BPNN is simulated. The results illustrate the excellent performance of the BPNN-based position sensorless control system.
The work was partially supported by the Key Project of Chinese Ministry of Education under Grant #2004104051, and in part by the Delta Science & Technology Educational Development Program Grant # DREG2005006.
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Ge, B.M., Zhang, Y.H., Yu, X.H., Nan, Y.H.: Simulation Study of Transverse Flux Linear Switched Reluctance Drive. In: Proceedings of the Eighth International Conference on Electrical Machines and Systems, vol. 1, pp. 608–613 (2005)
Fahimi, B., Emadi, A., Sepe Jr., R.B.: Four-Quadrant Position Sensorless Control in SRM Drives over the Entire Speed Range Power Electronics. IEEE Transactions Power Electronics 20, 154–163 (2005)
Hudson, C., Lobo, N.S., Crishman, R.: Sensorless Control of Single Switch Based Switched Reluctance Motor Drive using Neural Network. In: Proceedings of 30th Annual Conference of IEEE Industrial Electronics Society, vol. 3, pp. 2349–2354 (2004)
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Chen, Z., Ge, B., de Almeida, A.T. (2007). Neural Network-Based Position Sensorless Control for Transverse Flux Linear SRM. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_10
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DOI: https://doi.org/10.1007/978-3-540-72395-0_10
Publisher Name: Springer, Berlin, Heidelberg
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