Abstract
The AC motor control by neural networks includes the reconstruction errors in a certain degree, which can cause the non-convergence in the control results. To learn the complete system dynamics of the sensorless PMSM, a neural network adaptive speed control strategy is proposed to eliminate the NN reconstruction errors. A robust modification term, which is a function of estimation error and an additional tunable parameter, is introduced to guarantee the asymptotic stability of the speed estimation. A rotor-flux-oriented vector control is employed as the basic control strategy for the sensorless PMSM drive system. The simulation results demonstrated the validity and feasibility of the proposed control strategy.
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© 2014 Springer International Publishing Switzerland
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Quan, L., Wang, Z., Liu, X., Zheng, M. (2014). Sensorless PMSM Speed Control Based on NN Adaptive Observer. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_12
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DOI: https://doi.org/10.1007/978-3-319-12436-0_12
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