.png){kind=icon}
返回
Line-Constrained-Based Explicit Model Predictive Current Control for IPMSMs Drives
.png){kind=icon}
PRE
AI
DOI：10.1109/TPEL.2023.3274839.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article proposes an improved line-constrained explicit model predictive control (EMPC) method for interior permanent magnet synchronous motors by utilizing the constraint processing capability of EMPC. Despite the substantial advantages that EMPC provides for motor drives, its memory occupancy and complex weight factor calculation make it limited in tackling only small-scale issues. To address these challenges, the improved method incorporates a constraint variable that converts the area constraints of the conventionalEMPCstrategy into line constraints. The findings demonstrate that the line-constrained EMPC minimizes the number of piecewise affine regions to fewer than ten, which is substantially fewer than those of the conventional method, hence significantly decreasing the algorithm's memory occupancy rate. Moreover, only one weight factor in the cost function exists in the proposed approach, which solves the weight factor calculation problem inherent in the EMPC method. This method's superiority is demonstrated through simulations and experiments.
Keyword:
Predictive models
Mathematical models
Torque
Prediction algorithms
Cost function
Voltage control
Stators
Interior permanent magnet synchronous motors (IPMSMs) drives
line-constrained explicit model predictive control (EMPC)
memory occupancy
piecewise affine (PWA) regions
weight factors calculation
期刊
IF:
6.5
论文数:
1.7W
被引数:
8.3W
机构
引用论文
Zynq Implemented Luenberger Disturbance Observer Based Predictive Control Scheme for PMSM Drives
PREAI
分享收藏Model Predictive Torque Control for Torque Ripple Compensation in Variable-Speed PMSMs用于变速pmsm中转矩脉动补偿的模型预测转矩控制
PREAI
分享收藏分享收藏Conclusion regarding the peer review of the pesticide risk assessment of the active substance cyflufenamid.png)
EFSA Journal
OAAI
EFSA JournalIF0
OAAI分享收藏Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods电气驱动中模型预测控制的最新进展-第二部分: 经典控制方法的应用和基准测试
OAAI
OAAI分享收藏
查看更多内容