基于输入电压观测的间接矩阵变换器MPC方法

发布时间：2018-03-21 04:30

本文选题：间接矩阵变换器　切入点：输入电压观测　出处：《电气传动》2017年06期 　论文类型：期刊论文

【摘要】：针对间接矩阵变换器-异步电机(IMC-IM)调速系统,提出了一种基于输入电压观测的模型预测控制(MPC)方法。该方法对网侧电能质量和电机调速性能进行优化控制,并解决传统MPC方法检测量众多、采样调理成本高、时延长等问题。此方法基于IMC输入滤波器数学模型,设计了输入电压观测器,同时利用二阶差商法实现输入无功功率预测与输入电压的解耦,降低预测控制对观测模型的依赖。仿真结果表明IMC可实现正弦输入输出电流,且网侧功率因数接近于1;在设定转速及负载阶跃变化时,响应快、超调小。证明了该方法可实现电机良好动静态性能及网侧单位功率因数,并减少了3路输入电压采样及相应的硬件电路,最终简化AD采样、数字滤波和处理延时。
[Abstract]:In this paper, a model predictive control (MPC) method based on input voltage observation is proposed for an indirect matrix converter-asynchronous motor IMC-IMC speed regulating system, which optimizes the power quality and motor speed regulation performance on the grid side. The traditional MPC method has many problems, such as high cost of sampling and conditioning, time prolongation and so on. Based on the mathematical model of IMC input filter, the input voltage observer is designed. At the same time, the second-order difference quotient method is used to decouple the input reactive power prediction and the input voltage, which reduces the dependence of predictive control on the observation model. The simulation results show that IMC can realize sinusoidal input and output currents. The power factor of the grid side is close to 1, the response is fast and the overshoot is small when the speed and load step change are set. It is proved that this method can achieve the good dynamic and static performance of the motor and the unit power factor of the network side. It also reduces the input voltage sampling and the corresponding hardware circuit, and simplifies AD sampling, digital filtering and processing delay.
【作者单位】：北方工业大学变频技术北京市工程技术研究中心;
【基金】：北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201404003) 北京市自然科学基金项目(4152013) 国家自然科学基金项目(51477003) 北方工业大学长城学者后备(XN070007) 北京市科技新星计划(xx2016003)
【分类号】：TM46

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