A Weighted-Free CCS Model Predictive Current Control With Implicit Modulation for DTP-PMSMs

Abstract

In this paper, a weighted-free continuous control set model predictive control (CCS-MPC) is proposed and implemented for dual three-phase permanent magnet synchronous motors (DTP-PMSMs), which can not only reduce the current harmonics, but also eliminate the impact of weighting factor adjustment, as well as reducing the computational complexity of high-dimensional optimization. Specifically, the proposed weighted-free CCS-MPC formulates predictive control as solving two positive definite quadratic programming (QP) problems separately and thus avoids the trouble of adjusting the weighting factor. More importantly, a conventional 4-D optimization problem is mathematically transformed into two separate subdimensional ones, thereby successfully reducing the computational burden of CCS-MPC schemes. In order to obtain the globally optimal voltage vector, moreover, an implicit modulator scheme is implemented by combining the control and the modulation. Lastly, the effectiveness of the proposed weighted-free CCS-MPC scheme is verified theoretically and experimentally.