The objective of the paper is to present the efficient and dynamic sensorless speed control of a surface permanent magnet synchronous motor (SPMSM) drive at a wide speed range. For high-performance speed sensorless control, a finite control set model predictive current control (FCS-MPCC) algorithm based on a model reference adaptive system (MRAS) is proposed. With the FCS-MPCC algorithm, the inner current control loop is eliminated, and the limitations of the cascaded linear controller are overcome. The proposed speed sensorless control algorithm provides an efficient speed control technique for the SPMSM drive owing to its fast dynamic response and simple principle. The adaptive mechanism is adopted to estimate the rotor shaft speed and position used in FCS-MPCC for dynamic sensorless control. FCS-MPCC uses a square cost function to determine the optimal output voltage vector (VV) from the switching states that give the low cost index. A discrete-time model of a system is used to predict future currents across all the feasible VVs produced by the voltage source inverter. The VV that reduced the cost function is adopted and utilized. Simulation results showed the efficacy of the presented scheme and the viability of the proposed sensorless speed control design under various load conditions at a wide speed operation range.

本文的目的是提出一种在宽速度范围内对表面永磁同步电动机（SPMSM）进行高效，动态的无传感器速度控制的方法。针对高性能无速度传感器控制，提出了一种基于模型参考自适应系统（MRAS）的有限控制模型预测电流控制（FCS-MPCC）算法。使用FCS-MPCC算法，消除了内部电流控制环路，并克服了级联线性控制器的局限性。所提出的无速度传感器控制算法由于其快速的动态响应和简单的原理，为SPMSM驱动器提供了一种有效的速度控制技术。采用自适应机制估算FCS-MPCC中用于动态无传感器控制的转子轴速度和位置。FCS-MPCC使用平方成本函数从给出低成本指数的开关状态确定最佳输出电压矢量（VV）。系统的离散时间模型用于预测电压源逆变器产生的所有可行VV上的未来电流。降低成本功能的VV被采用。仿真结果表明，该方案的有效性以及所提出的无传感器速度控制设计在各种负载条件下，较宽的速度范围内的可行性。