Abstract
A robust position controller with linear-quadratic (LQ) method and fuzzy neural-network (FNN) technique for permanent magnet synchronous motor (PMSM) is presented in this paper. An FNN controller is implemented to preserve a favorable model-following characteristics under various operating conditions. The performance of the proposed drive is investigated both in experiment and simulation at different condition. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Wang, J., Peng, H., & Jian, X. (2005). Position control for PM synchronous motor using fuzzy neural network. In Lecture Notes in Computer Science (Vol. 3498, pp. 179–184). Springer Verlag. https://doi.org/10.1007/11427469_28
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