Abstract
The intelligent control method and maximum torque per ampere (MTPA) principle are used to develop the modeling and position control of interior permanent magnet synchronous motor (IPMSM) in this paper. As the conventional fuzzy controller adopts fixed output scaling factor and it has the problem of output shaking, the steady-state accuracy of conventional fuzzy controller is not high. In order to improve the dynamic response characteristics for a high-precision position servo system of IPMSM, a new scheme based on single neuron control online adjusting the output scaling factor of shakeless fuzzy controller is proposed. Then the improved shakeless fuzzy controller is applied to the IPMSM servo system as a position controller, which can realize accurate position control. The simulation results show that the proposed scheme exhibits good position control and load torque disturbances attenuation performances.
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Acknowledgments
This work is supported by the Natural Science Foundation of China (61174131, 61104076), the Science and Technology Project of College and University in Shandong Province (J11LG04).
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Shao, M., Yu, H., Wang, Z., Xie, H., Zhao, S. (2015). Position Control of Interior Permanent Synchronous Motor Based on Improved Shakeless Fuzzy Controller. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_10
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DOI: https://doi.org/10.1007/978-3-662-46463-2_10
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