Abstract
In order to improve the speed regulation performance of the three-phase permanent magnet synchronous motor drive system, based on the mathematical model of the surface-mount permanent magnet synchronous motor in the d, q rotating coordinate system, a neural sliding mode speed controller is proposed. Firstly, the sliding mode controller is established by the approach rate method, and the stability analysis is carried out. Then based on this, combined with the radial basis function neural network to derive the control rate of the system. The method can effectively reduce chattering and improve the control performance of the system while maintaining the robustness of the sliding mode controller. The simulation results show that the system can track the reference speed quickly and has strong robustness to load disturbance.
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Miao, J., Qin, W., Zheng, D. (2019). Vector Control of Three Phase Permanent Magnet Synchronous Motor Based on Neural Network Sliding Mode Speed Controller. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_28
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DOI: https://doi.org/10.1007/978-981-13-7025-0_28
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