Double Vectors Model Predictive Torque Control Without Weighting Factor Based on Voltage Tracking Error
Double Vectors Model Predictive Torque Control Without Weighting Factor Based on Voltage Tracking Error
复制标题
基于电压跟踪误差的双向量模型无权重因子预测扭矩控制
DOI：
10.1109/tpel.2017.2691776
复制
发表时间：
2018-03
影响因子：
6.7
通讯作者：
Hou Benshuai
中科院分区：
文献类型：
--
作者：
Zhang Xiaoguang;Hou Benshuai
为了减少传统模型预测转矩控制（MPTC）的计算量，消除权重因素，提出了一种不使用权重因素的改进模型预测转矩控制算法。基于无差拍直接转矩和磁链控制，预测下一阶段应用的参考电压矢量，避免了测试所有可行的电压矢量，从而减少了传统MPTC的计算负担。将基于转矩和磁链误差的传统MPTC成本函数替换为基于电压矢量跟踪误差的成本函数；从而消除了传统MPTC中由于转矩和磁链单位不同而必须考虑的定子磁链加权因子。此外，在一个控制周期内施加两个电压矢量，其中包括一个有源矢量和一个零矢量，以改善稳态性能。根据电压矢量跟踪误差最小化的原则确定所选电压矢量的持续时间。此外，为了进一步提高稳态性能，引入了一种不同的矢量选择方法，即第二电压矢量不固定为零矢量，而是在边界范围内选择。分析了候选电压矢量的选择过程，并计算了持续时间。仿真和实验结果均表明了该控制方法的有效性。
In order to reduce the computation burden and eliminate the weighting factor in conventional model predictive torque control (MPTC), this paper proposes an improved MPTC algorithm without the use of weighting factor. Based on the deadbeat direct torque and flux control, the reference voltage vector, which would be applied in the next period, is predicted to avoid testing all feasible voltage vectors, hence reducing the computation burden of conventional MPTC. Moreover, the torque and flux error-based cost function of conventional MPTC is replaced by the voltage vector tracking error-based cost function; thus, the weighting factor of stator flux in conventional MPTC, which is always necessary because of the different units between torque and flux, is eliminated. Furthermore, two voltage vectors, which include an active vector and a null vector, are applied during one control period to improve steady-state performance. The durations of the selected voltage vectors are determined based on the principle of voltage vector tracking error minimization. Moreover, to further improve the steady-state performance, a different vector selection way, in which the second voltage vector is not fixed as a null vector but selected in a border range, is introduced. The selection process of candidate voltage vectors is analyzed, and the duration is calculated. Simulation and experimental results both show the validity of the proposed control approach.
登录
查看更多内容
影响因子：
6.7
作者：
S. Davari;D. Khaburi;R. Kennel
通讯作者：
S. Davari;D. Khaburi;R. Kennel
低复杂度模型预测功率控制：基于双向量的方法
影响因子：
7.7
作者：
Yongchang Zhang;Wei Xie;Zhengxi Li;Yingchao Zhang
通讯作者：
Yingchao Zhang
DOI：
10.1109/ecce-asia.2013.6579264
发表时间：
2013-06
期刊：
2013 IEEE ECCE Asia Downunder
影响因子：
--
作者：
P. Stolze;M. Tomlinson;R. Kennel;T. Mouton
通讯作者：
P. Stolze;M. Tomlinson;R. Kennel;T. Mouton
影响因子：
7.7
作者：
G. Foo;M. F. Rahman
通讯作者：
G. Foo;M. F. Rahman
DOI：
--
发表时间：
2012
期刊：
--
影响因子：
--
作者：
J. Pérez;Patricio Cortes Estay
通讯作者：
J. Pérez;Patricio Cortes Estay