In order to generalize Kalman filter (KF) to nonlinear system, compensate the random drift error of micro electro mechanical system (MEMS) gyroscope, improve the limited dynamic tracking ability of filter, and overcome the drawback of poor adaptability of strong tracking filter (STF) and strong tracking unscented Kalman filter (STUKF), in this paper, fuzzy strong tracking unscented Kalman filter (FSTUKF) is designed by combining fuzzy control algorithm with STUKF. The algorithm modifies the softening factor of STUKF in real time through fuzzy rules, and then adaptively adjusts the fading factor. Finally, the static and dynamic experiments are carried out. The experiments results verily the effectiveness and superiorities of the proposed method.