Finite-control-set model predictive control (FCS-MPC) has attracted ever-increasing applications in the interior permanent magnet synchronous motor (IPMSM) drives. However, in the sensorless control domain, the FCS-MPC suffers from parameter dependence and has difficulties in implementing traditional position estimation methods. Therefore, this paper proposed a sensorless adaptive lumped electromotive-force model predictive control (SALE-MPC) method for the IPMSM drives without position sensors. In SALE-MPC, the inherent discrete switching nature of the FCS-MPC is used as the excitation, which enables the position estimation in wide speed range including the zero-speed estimation and the initial polarity detection. The proposed Adaptive Lumped Electromotive-force prediction model works without using the actual machine parameters, which avoids the parameter dependence. The traditional high frequency signal injection is replaced by the inherent excitation of the FCS-MPC. In this way, the interruption to the fundamental control is reduced, and the complex signal processing and filter design procedures are avoided. Theoretical analysis and experimental results validated the proposed method.
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