This paper presents a modulated model predictive control (MMPC) based control system for a Z-source inverter based permanent magnet synchronous motor (PMSM) drive system. The proposed method uses two separate… Click to show full abstract
This paper presents a modulated model predictive control (MMPC) based control system for a Z-source inverter based permanent magnet synchronous motor (PMSM) drive system. The proposed method uses two separate MMPC loops for the Z-source network and PMSM control. For the Z-source network, a cascaded MMPC control scheme has been proposed that provides fast and stable response. For the PMSM control, an MMPC controller is proposed that uses the discretized equations of the PMSM to predict the future value of PMSM current vectors, selects specific current vectors that minimize a certain cost function the most, and performs modulation between them during a sampling time. Experimental results are provided to validate the theoretical outcomes.
               
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