Abstract
In the cost function of model predictive torque control of permanent magnet synchronous motor (PMSM), torque and flux linkage have different dimensions, and the weight factor need to be properly adjusted to optimize the control performance. Therefore, on the basic of the discrete mathematical modelling of PMSM, firstly, both torque predictive error and flux predictive error expressions are mapped to the two-phase static coordinate system, which are equivalent to the distance expressions from the end point of voltage vector to straight line and to circle respectively. Because they have the same dimension, they can be directly superimposed to form the cost function proposed in this paper, which eliminates the option process for weighting factor. Then candidate voltage are plugged into cost function in turn, and optimal voltage with minimum cost function is chosen as voltage input of the next control cycle. Finally, the simulation model and an experimental platform are established to compare steady state and dynamic property of cost function without weight factor proposed in this paper with other MPTC methods. The results show the proposed method has good control performance.
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Guo, H., Guo, Y., Zheng, X., Liu, Y., Li, Z., Zhang, H. (2023). Torque Control for PMSM with Unweighted Prediction. In: **e, K., Hu, J., Yang, Q., Li, J. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-99-0408-2_2
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DOI: https://doi.org/10.1007/978-981-99-0408-2_2
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