Research on the Parameters Identification of Direct Thrust Control System Using Wavelet Neural Network

Abstract:

Wavelet neural network is used in the direct thrust control system of linear motor in this paper, as wavelet theory has the characteristic of the time frequency location characteristic, the strong approximation and fault-tolerant capability. The observation of flux linkage is improved by accurate identification of primary resistance, and the direct thrust control performance of linear motor is further improved. This paper used wavelet neural network to realize the identification signal of resistance. The simulation results show that the identification system has good effect in primary resistance identification. The direct thrust control system based on resistance identification can efficiently improve the control system performances of linear motor, and offer a novel design opinion for improving the low-speed performances of linear motor.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 794-798
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.794
• Online since: July 2013
• Authors: Li Jun Zhao
• Keywords: Direct Thrust Control, Linear Motor, Parameters Identification, Wavelet Neural Network (WNN)

References

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