基于NPC三电平九相磁通切换永磁电机的控制

多电平逆变技术是大容量变频调速的首选方案,结合多相电机技术可以进一步提升调速系统的容量。本文对中点钳位(neutral point clamped,NPC)型三电平逆变器供电的10 k W、九相磁通切换永磁(flux-switching permanent magnet,FSPM)电机调速系统进行了仿真和实验研究,探索结合多电平逆变技术和多相电机技术的调速方案。在三相FSPM电机矢量控制的基础上扩展建立了九相FSPM电机的定子磁场定向矢量控制方法,分析了调速系统采用两种载波PWM方式下产生的电压和电流波形。另外,3、5、7次谐波电流的解耦闭环控制成功消除了直流侧中点电位偏移。最后仿真和实验结果证明了理论分析的正确性和有效性。     

基于自适应最小二乘支持向量机逆系统的链式STATCOM控制策略

对链式静止同步补偿器(static synchronous compensator,STATCOM)建立了非线性数学模型,采用逆系统反馈线性化的方法,构造了伪线性系统,并且将系统实现解耦。由于开关管IGBT的变化随时性及模型的不确定性,常常引起非线性模型参数的变化。为了解决这一问题,采用最小二乘支持向量机自适应地估计动态的模型非线性部分,通过反馈的方式加入到逆系统的输入端,从而补偿掉实际系统模型中的非线性部分,实现真正意义上的伪线性模型。由于是线性系统的解耦模型,采用线性二次型最优控制算法,实现配电网的无功补偿。仿真和实验结果表明,所提的算法很好地解决了配电网的无功补偿问题,且具有很好的鲁棒性和动态性能。     

基于参考磁链矢量计算的PMSM直接转矩控制

为了减小传统直接转矩控制中较大的转矩和磁链波动,并使逆变器开关频率保持恒定,研究了一种基于参考磁链矢量计算的永磁同步电机直接转矩控制方法。从定子磁链矢量的变化所反映出的对转矩和磁链的控制作用考虑,对基于参考磁链矢量计算的直接转矩控制的原理和结构进行了详细地分析和论述。在此基础上,通过转矩方程局部线性化来获取转矩环的控制模型,在线性化过程中的误差进行分析的基础上,研究了转矩环PI控制器的参数设计方法。仿真和实验结果验证了所研究控制方法的可行性和有效性。     

基于全矢局部均值分解的齿轮故障诊断方法研究

针对齿轮故障信号大多数是难分解的多分量的调幅-调频信号的问题,提出一种新的信号处理方法——全矢局部均值分解(FVLMD)方法。局部均值分解(LMD)可将多分量信号自适应地分解为多个单分量信号;全矢谱技术可以解决单通道信号不完整的问题。运用信息融合技术,将信号LMD分解得到的PF(Product Function)分量进行全矢谱融合分析,这样既可以将信号彻底分解,又可以保证其完整性。齿轮故障信号验证了该方法的有效可行性。     

基于遗传算法优化SVM的刀具VB值预测的研究

针对刀具磨损量的预测问题,建立了基于支持向量机回归理论的刀具VB值的在线预测模型。对声发射信号和电流信号分别进行EEMD分解和小波包分解得到的能量值,把它与主轴转速、进给量和背吃刀量一起组成初始特征向量。通过主成分分析进行数据处理,把得到主元作为遗传算法优化的支持向量回归机的输入向量。结果表明,该模型精度高,运行速度快。     

三维空间小孔电火花编程加工工艺方法研究

结合国内多轴电火花小孔加工机床的特点,利用UG建模工具获取三维空间小孔的位置与矢量信息,巧妙地利用接触感知功能得到设备回转轴的回转偏差,最后通过坐标变换获得对随机分布的空间矢量小孔精准定位的电火花加工方案。     

锂离子电池循环寿命的融合预测方法

针对传统基于粒子滤波的锂离子电池剩余使用寿命预测方法的不足:过度依赖电池经验退化模型和模型输入变量单一的问题,提出了一种相关向量机、粒子滤波和自回归模型融合的锂离子电池剩余寿命预测的方法。通过相关向量机提取电池历史数据的退化趋势,构建趋势方程替换以往的电池经验退化模型,作为粒子滤波算法的状态转换方程。引入自回归模型的长期趋势预测值,替换观测值构建粒子滤波算法的观测方程。将3种方法相融合估计电池剩余寿命。实验结果表明:融合方法不仅预测精度高而且采用数据驱动的方法避免了构建复杂的电池机理退化模型,通用性强。     

微光学系统矢量衍射成像中畸变的衍射机理与计算

用瑞利—索末菲矢量衍射公式导出微光学系统矢量衍射像点光强分布的计算式,探讨矢量衍射成像中畸变的衍射机理与计算。模拟试验表明微光学系统矢量衍射成像不但要考虑横向场还要考虑纵向场,畸变校正要进行位置校正,光强也要做适当校正,有利于微光学成像系统的像差分析与处理。     

Chaotic system identification using Wiener‐LSSVM model

In this paper, a new method is proposed for identifying chaotic system based on a Wiener‐least squares support vector machine (Wiener‐LSSVM) model. The model consists of a linear dynamic subsystem followed by a static nonlinear function, which is represented by LSSVM in this paper. The parameters of the linear dynamic part and those of LSSVM are estimated simultaneously by solving a set of linear equations using the least squares (LS) method. The proposed method incorporates partial structure information into the identification process and does not assume that the parameters of linear dynamic part are known. On the other hand, the LS algorithm is more efficient than gradient‐descendent‐based algorithms for estimating the parameters of Wiener‐LSSVM. Three identification examples are given to validate the effectiveness of the proposed method. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

An overheating‐tolerant space vector modulation algorithm for multilevel inverters

As promising and suitable candidates for high‐power applications, multilevel inverters have become one of the most promising solutions in various applications. However, power switching devices are highly subjected to thermal overheating, which leads to shortened lifetime and reduced reliability. Thermal overheating may result from the degradation of power switching devices due to continuous overloading and power cycling. In addition, degradation and faults in the cooling system of power switching devices may cause thermal stresses as well. A new overheating‐tolerant space vector modulation algorithm is proposed in this paper to alleviate thermal stresses from overheated power switching device. The proposed algorithm relies on using the redundancy property between switching states in multilevel inverters to continuously evaluate a cost function of the junction temperature of the overheated device for all possible switching sequence sets and then selects the optimal switching sequence. In addition, the proposed algorithm preserves the DC‐link capacitor voltage without reduction in the output current of the inverter. The proposed algorithm is general, which can be applied to n‐level inverters. Both simulation and experimental results reveal the efficient performance of the proposed algorithm using a three‐level T‐type inverter as a case study. Accordingly, the lifetime and reliability of the inverter are enhanced considerably using the proposed algorithm. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.