An Improved Extended State Observer Based Model-Free Predictive Current Control for Open-Winding Permanent Magnet Linear Synchronous Motor Drives
2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)(2023)
摘要
The traditional model predictive current control (MPCC) has the advantages of simple structure and fast response. However, when MPCC is applied to open-winding topology, it suffers from heavy calculation burden and sensitivity to motor parameters uncertainties. A simplified model-free predictive current control (MFPCC) based on extended state observer (ESO) is proposed for open-winding permanent magnet linear synchronous motor (OW-PMLSM). The proposed method predicts currents based on the ultra-local model without using any motor parameters, and thus improving the system robustness. In addition, the computational burden of MPCC applied to an open-winding topology is considerable, as the number of the possible voltage vectors is increased to 64. Aiming to reduce the computational burden, a sequential structure evaluation function is designed, which can not only reduce the calculation burden, but also eliminate the weight factor. Finally, the proposed algorithm is verified by experiments on a hardware-in-the-loop simulation platform, and the experimental results verify the effectiveness of the algorithm.
更多查看译文
关键词
OW-PMLSM,MFPCC,weighting factors,zero-sequence current,ultra-local model
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要