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Full-speed position sensorless control strategy of permanent magnet synchronous motor

August 13, 2026AIC Engineering

Due to their superior power-to-weight ratio and extensive operational speed envelopes, Interior Permanent Magnet Synchronous Motors have emerged as the predominant solution for versatile industrial applications. Nevertheless, the integration of physical sensors inevitably…

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Due to their superior power-to-weight ratio and extensive operational speed envelopes, Interior Permanent Magnet Synchronous Motors have emerged as the predominant solution for versatile industrial applications. Nevertheless, the integration of physical sensors inevitably increases system costs and diminishes reliability under harsh operating conditions. Addressing the issues of speed fluctuations during transitions, bridging the operational gap between standstill/low-speed region and medium-to-high velocity regimes, as well as the phase lag inherent in traditional filtering methods for full-speed sensorless control, this paper presents a full-speed sensorless control framework underpinned by an enhanced hybrid flux observer.

First, the mathematical models of the IPMSM in multiple coordinate systems are established, and the logic of id = 0 vector control alongside the principles of the SVPWM algorithm are analyzed in detail. Second, addressing the operational constraints of existing estimators at various speeds, an optimized control framework is developed by hybridizing HF square-wave injection with flux-based observation, thereby ensuring robust state estimation from standstill to rated speeds. To overcome the estimation inaccuracies at zero speed, rotor position information acquired through HF square-wave injection is integrated into the current-domain flux estimator, formulating a composite square-wave flux model that ensures reliable initial startup. This model enables real-time correction of the voltage-based flux model through a PI feedback compensation mechanism. The proposed scheme transcends the constraints of traditional weighted switching methods by extending PI feedback control across the entire speed range. This approach effectively eliminates phase loss caused by traditional low-pass filters and enhances observation accuracy and dynamic response.

Simulation results within the MATLAB/Simulink environment demonstrate that the proposed strategy exhibits superior tracking performance during motor startup, steady-state operation, and dynamic load-changing conditions. Simulation results demonstrate that the system achieves smooth transitions and stable operation over the entire speed range.

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