控制理论(社会学)
计算机科学
牵引(地质)
观察员(物理)
理论(学习稳定性)
感应电动机
离散化
航程(航空)
功率(物理)
控制工程
工程类
控制(管理)
电压
数学
机器学习
物理
量子力学
数学分析
航空航天工程
人工智能
电气工程
机械工程
作者
Hongwu Chen,Jian Li,Yang Lu,Kai Yang,Linghao Wu,Zhi Li
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2023-01-01
卷期号:: 1-1
被引量:1
标识
DOI:10.1109/tte.2023.3257056
摘要
In the applications of high power induction motor railway traction systems, the switching frequency of power devices is relatively low. This restriction will severely reduce the accuracy and stability of conventional discrete model for adaptive full-order observer (AFO) in extremely high-speed region. What’s worse, due to the neglect of flux error during speed estimation derivation, the conventional AFO cannot maintain stability under low-speed regenerating mode. The above two reasons limit the application of AFO in rail traction systems for full speed range. To address this problem, this paper utilizes a high-accuracy discretization which is achieved in combined reference frames and feedback gains are designed in z-domain to ensure stability and dynamic performance of AFO. Moreover, a modified speed estimation mechanism with the error of d-axis current is developed to guarantee stability in extremely low-speed regenerating mode. Rigorous simulations and experiments are performed to verify that the proposed AFO model achieves excellent sensorless control performance in full speed range.
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