期刊论文

Brushless DC Motor Torque Estimation Based on Nonlinear Partial Least Square Method

Zhang, Zhiyong(zzy04@163.com)

中文

电工技术学报

1000-6753

2017

32

5

62-69

10.19595/j.cnki.1000-6753.tces.2017.05.009

51675057:国家自然科学基金 kfj110304:长沙理工大学道路灾变防治及交通安全教育部工程研究中心开放基金 2013319825090:交通部应用基础研究项目

本校为第一机构

针对无刷直流电机直接转矩控制系统中,电机输出转矩估计或观测存在需检测电机状态信号难以精确地检测、观测或计算等不可避免的难题,提出一种利用电机线电流和转速两个易检测信号进行电机输出转矩估计的方法。该方法首先基于拉丁超立方抽样方法确定建模数据,确保离散数据的可靠性;然后通过核函数将建模数据中的自变量变换到特征空间,将自变量与因变量之间的非线性关系在特征空间中线性地展开;最后在特征空间中利用偏最小二乘回归方法建立电机输出转矩的估计模型。通过对转矩估计精度和控制系统性能进行分析及实验验证,证明了所提转矩估计方法能准确地估计电机输出转矩,确保电机直接转矩控制系统...

For the direct torque control (DTC) system of a brushless DC motor (BLDCM), there are some conundrums cannot be avoided such as motor output torque estimation or observation can not be observed or calculated precisely. A new motor output torque estimation method is proposed in this paper, which only use two easily measured state signals like the motor speed and line current to output torque estimation. The method first to determine the modeling data and to ensure the reliability of the discrete data based on Latin hypercube sampling method. A k...