Contraposing the buffeting problem of traditional sliding mode observer in permanent magnet synchronous motor control system when estimating the rotational speed and rotor position, a super-spiral sliding mode observer based on fuzzy rules is proposed. The observer adopts series high-order sliding mode to ensure the continuity of the output, and weakens the buffeting begeted by high-frequency switching in sliding mode control. The introduction of fuzzy rules solves the problem that the upper bound of the boundary function in the super-spiral control algorithm is difficult to obtain in practice, and then the proof is used to verify the convergence of the proposed fuzzy super-spiral sliding mode control rate. Finally, the model is built in Matlab. The laboratory results demonstrate that the designed control scheme reduces the system chattering while satisfying the control accuracy. This work is supported by National Key Research and Development Program of China (No. 2017YFB1201003-020).