Model Predictive Direct Duty-Cycle Control for PMSM Drive Systems With Variable Control Set

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Abstract
Finite control-set model predictive control (FCS-MPC) has received extensive attention because of its excellent dynamic performance, however, it is still need to be studied in terms of torque ripples reduction and parameter robustness. To reduce the steady-state torque ripples and maintain the appropriate anti-parameter perturbation ability, this paper proposes a model predictive direct duty-cycle control (MPD2C) strategy based on “variable control-set (VCS)”. In the proposed strategy, the direct mapping relations between the electromagnetic torque, flux and three-phase duty-cycles has been established, by exploring the dual relationship of vector synthesis and duty-cycles. On this basis, the novel predictive model and VCS that using the three-phase duty-cycles as the key variable are constructed. Finally, the proposed strategy determines the three-phase duty-cycles from VCS by employing a two-stage optimization mechanism, which means the proposed strategy can generate virtual vectors with multiple IGBT switching patterns. Then, the high-precision torque and flux adjustment would be achieved. The experimental results show that VCS-MPD2C has excellent static and dynamic control performance, acceptable execution efficiency and relatively good parameter robustness.
Funding Information
  • National Natural Science Foundation of China (51690183)
  • National Natural Science Foundation of China (51907142)

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