Eliminating current harmonics of six-phase permanent magnet synchronous machine using deadbeat current control based on improved predictive model

Document Type : Research Paper

Authors

1 Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 Shahid Chamran University of Ahvaz

Abstract

This paper proposes dead beat current control (DBCC) based on predictive model control for six-phase asymmetric permanent magnet synchronous machine (PMSM). First, the DBCC solution is adopted to obtain the expected reference voltage vector (RVV); Then two groups of virtual vectors, a total of 24 vectors with different values will be defined for it. Due to the reduction of current harmonics, two in-phase virtual vectors that are closer to RVV are subsequently selected as predictor vectors. The next step is to define a cost function consisting of the error between the RVV and the available prediction vectors, Then, the two selected virtual vectors are evaluated and the function that minimizes the cost function is evaluated at the next moment, only two predictor vectors are needed, which greatly reduces the computational burden. Meanwhile, the weighting coefficient of torque prediction control is avoided. Moreover, to achieve easy implementation with standard PWM switching sequence, 18 virtual vectors are replaced by them. Finally, the proposed method has been studied comparatively with other methods. The results and validation of the article have been done using MATLAB software.

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Articles in Press, Accepted Manuscript
Available Online from 14 September 2025
  • Receive Date: 14 September 2024
  • Revise Date: 13 July 2025
  • Accept Date: 18 August 2025