Yutong Zhu1,2; Yaohua Li1
1. Institute of Electrical Engineering Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China
2. China Academy of Railway Sciences Corporation Limited (Beijing Zongheng Electromechanical Technology Co. Ltd), Beijing, China
Y. Zhu and Y. Li, "A Loss-Model-Based Efficiency Optimization Control Method for Induction Traction System of High-Speed Train Under Emergency Self-Propelled Mode," in CES Transactions on Electrical Machines and Systems, vol. 8, no. 2, pp. 227-239, June 2024, doi: 10.30941/CESTEMS.2024.00017.
摘 要
高速列车感应牵引系统的节能要求越来越高,其效率的提高也越来越受到人们的重视。然而,在紧急自推进模式下,直流环节电压和电机牵引功率显著降低,导致牵引效率下降,这是由于低负荷和低速运行。针对这一问题,本文将一种新的效率改进控制方法引入高速列车牵引系统的应急模式。在该方法中,建立了考虑铁耗和铜耗行为的异步电动机总损耗模型。在此基础上,提出了一种改进的迭代算法,减少了计算量,从而快速地求解出每个控制周期的最优磁链参考值,使损耗最小。此外,针对低负荷低速运行时参数变化的问题,提出了一种参数估计方法,以提高控制器的鲁棒性。仿真和实验结果验证了该方法在低电压、低负载条件下提高效率的有效性。
Abstract
Increasing attention has been paid to the efficiency improvement of the induction traction system of high-speed trains due to the high demand for energy saving. In emergency self-propelled mode, however, the dc-link voltage and the traction power of the motor are significantly reduced, resulting in decreased traction efficiency due to the low load and low speed operations. Aiming to tackle this problem, a novel efficiency improved control method is introduced to the emergency mode of high-speed train traction system in this paper. In the proposed method, a total loss model of induction motor considering the behaviors of both iron and copper loss is established. An improved iterative algorithm with decreased computational burden is then introduced, resulting in a fast solving of the optimal flux reference for loss minimization at each control period. In addition, considering the parameter variation problem due to the low load and low speed operations, a parameter estimation method is integrated to improve the controller's robustness. The effectiveness of the proposed method on efficiency improvement at low voltage and low load conditions is demonstrated by simulated and experimental results.
作者信息
朱雨桐,1991年生人。2013年毕业于浙江大学电气工程及其自动化专业,获学士学位;2016年毕业于美国威斯康星大学麦迪逊分校电气工程专业,获硕士学位;2016年至今,就职于中国铁道科学研究院机车车辆研究所(北京纵横机电科技有限公司),现任助理研究员;2019年至今,于中国科学院电工研究所攻读博士学位。主要研究方向为电力电子与电机控制。
李耀华,1966年生人。1994年毕业于清华大学电机控制专业,获博士学位;1995年至1997年于德国柏林工业大学电机研究所,任博士后;1997年至今,就职于中国科学院电工研究所,现任电工所所长、党委书记、研究员。主要研究方向为电力电子与电机控制。
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