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Conventional model predictive control (MPC) uses a single voltage vector every control cycle which makes the cost function minimized through the enumeration process, which will result in relatively high steady-state fluctuation and significant computational overhead. MPC's steady-state performance can be enhanced by adding duty cycle control and generalized double vector control though this increases the complexity of the control algorithm. To enhance the permanent magnet synchronous motor (PMSM) performance while lowering algorithm complexity, an equivalent three-vector-based model predictive current control with duty cycle reconstruction is proposed. This method eliminates the enumeration process and lowers the computational overhead in the modified voltage vector space. The steady-state performance is further enhanced using the three-phase duty cycle reconstruction. The validity and feasibility of the proposed MPC are confirmed by comparing it with a double-vector-based MPC (DV-MPC) and three three-vector-based MPC (TV-MPC).