A Sensorless Control of PMSM Using Hybrid Fuzzy-Logic Adaptive Sliding Mode Approach

A sensorless control method based on a super-twisting sliding mode observer (STSMO) and a second-order generalized integrator phase-locked loop (SOGI-PLL) with fuzzy control is proposed. The fuzzy control algorithm is integrated into the SOGI-PLL to reduce chattering and improve the accuracy of the rotor position estimation of the permanent magnet synchronous motor (PMSM). Firstly, the basic principles and mathematical models of the STSMO are explained in detail. Secondly, the basic concepts of the SOGI-FLL and the PLL are introduced, along with their applications in sensorless control. Then, based on the proposed method, a PMSM control strategy is developed following system modeling, observer design, and control strategy optimization. The effectiveness of the proposed method is verified through a comparative analysis between the optimized control strategy and the initial control strategy. The experimental results demonstrate that the proposed STSMO-SOGI-PLL method reduces velocity fluctuations to 40r/min and effectively eliminates steady-state estimation errors.