Current Control Method for Independent Double Three-phase Winding Interior Permanent Magnet Synchronous Motor Applying Model Predictive Control

2020 ◽  
Vol 140 (8) ◽  
pp. 597-605
Author(s):  
Chihiro Hashiba ◽  
Hitoshi Haga
Keyword(s):  
Model Predictive Control ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Current Control ◽  
Three Phase ◽  
Interior Permanent Magnet

Model predictive control method with common-mode voltage suppression for dual three-phase permanent magnet synchronous motor

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1453-1460
Author(s):  
Zhifeng Zhang ◽  
Yue Wu ◽  
Sicong Ye
Keyword(s):  
Computational Complexity ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Common Mode ◽  
Current Harmonics ◽  
Common Mode Voltage ◽  
Three Phase

Recently, the interest in model predictive control (MPC) and dual three-phase drives has been growing rapidly. Due to the high redundancy of voltage vector in the system composed of dual three-phase permanent magnetic synchronous motor (PMSM) and six-phase inverter, the computational complexity and current harmonics of MPC are high. In addition, the zero vector has been used by traditional MPC, which will cause higher common-mode voltage. In this paper, a novel MPC method with twice predictions and synthetic vectors is proposed which can not only suppress common-mode voltage, but also reduce computational complexity and current harmonics. The mathematical model of a dual three-phase PMSM are verified by the experimental results under the common-mode voltage suppression.

scholarly journals Design and Implementation of Recursive Model Predictive Control for Permanent Magnet Synchronous Motor Drives

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Xuan Wu ◽  
Hui Wang ◽  
Xiaofang Yuan ◽  
Shoudao Huang ◽  
Derong Luo
Keyword(s):  
Model Predictive Control ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Permanent Magnet Synchronous Motor ◽  
Computing Time ◽  
Computational Procedure ◽  
Synchronous Motor ◽  
Current Control ◽  
Recursive Model ◽  
Marquardt Algorithm

In order to control the permanent-magnet synchronous motor system (PMSM) with different disturbances and nonlinearity, an improved current control algorithm for the PMSM systems using recursive model predictive control (RMPC) is developed in this paper. As the conventional MPC has to be computed online, its iterative computational procedure needs long computing time. To enhance computational speed, a recursive method based on recursive Levenberg-Marquardt algorithm (RLMA) and iterative learning control (ILC) is introduced to solve the learning issue in MPC. RMPC is able to significantly decrease the computation cost of traditional MPC in the PMSM system. The effectiveness of the proposed algorithm has been verified by simulation and experimental results.

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