Open AccessAn Improved MPCC Method Based on the Predictive Delay Error Analysis for PMSM Speed Control System
Author(s) -
Siyuan Tang,
Ying Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012042
Subject(s) - control theory (sociology) , correctness , computer science , stator , torque ripple , model predictive control , permanent magnet synchronous motor , torque , direct torque control , control (management) , induction motor , engineering , voltage , algorithm , physics , mechanical engineering , electrical engineering , artificial intelligence , thermodynamics
Taking permanent magnet synchronous motor (PMSM) as the research object, the model predictive current control strategy (MPCC) was studied. In order to solve the shortcoming that the MPCC strategy depends on the motor prediction model, reduce the prediction error caused by MPCC and enhance the prediction accuracy of the system, an improved MPCC model was constructed by a two-step prediction method. At the same time, compared with the system based on Field-Oriented Control (FOC) and MPCC control and the system based on improved MPCC control, the proposed control strategy can make the PMSM run stably and efficiently, and reduce the torque ripple and the THD value of the three-phase stator resistance current. The simulation results show that the motor system controlled by the method can run stably, and then the correctness and effectiveness of the strategy are verified.