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中南大学学报(自然科学版)

Journal of Central South University

第50卷    第5期    总第297期    2019年5月

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文章编号:1672-7207(2019)05-1098-07
基于有限集模型预测的电机模拟器故障电流跟踪方法
彭涛,刘博,杨超,秦瑞,阳春华

(轨道交通节能控制与安全监测湖南省重点实验室,中南大学 自动化学院,湖南 长沙,410083)

摘 要: 电机故障情况下电机模拟器跟踪定子电流动态响应慢、精度低,为了解决这一问题,提出一种基于有限集模型预测的故障电流跟踪方法。首先,构建基于信号调理的故障注入器,根据给定指令设定预测控制器的参考电流信号;然后,建立电机模拟器负载电流预测模型,在每一个采样周期内,计算所有开关状态下负载电流的预测值;最后,构建评价函数,计算每一个扇区对应的评价函数值,选取最小评价函数值对应的扇区内的开关状态作为电机模拟器下一个采样周期的开关状态。研究结果表明:本文提出的方法可以有效地跟踪电机模拟器故障电流,与传统PI调节相比,动态响应速度更快,跟踪精度更高。

 

关键字: 电机模拟器;故障注入;有限集模型预测;电流跟踪

Fault current tracking method of motor simulator based on finite set model prediction
PENG Tao, LIU Bo, YANG Chao, QIN Rui, YANG Chunhua

School of Automation, Hunan Provincial Key Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation, Central South University, Changsha, China 410083

Abstract:Aiming at the problem of slow dynamic response and low accuracy during the process of tracking motor fault stator currents by motor simulator, a fault current tracking method based on finite set model prediction(FSMP) was proposed. First, the fault injector based on signal conditioning was constructed, and the reference current signal of the predictive controller was set according to the given instruction. Then, the load current prediction model of motor simulator was set up, and the prediction value of the load current in all switching states was calculated in each sampling period. Finally, the evaluation function was constructed, and the corresponding evaluation function value of each sector was calculated. The switch state in the sector corresponding to the minimum evaluation was used as the switch state of the next sampling period of the motor simulator. The research results show that fault current of motor simulator can be effectively tracked by the proposed method. Compared with the traditional PI regulation, the dynamic response of proposed method is faster and the tracking precision is higher.

 

Key words: motor simulator; fault injection; finite set model prediction(FSMP); current tracking

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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