The invention discloses an intelligent MEMS gyroscope control method in accordance with unknown dynamics and external disturbance, aiming at addressing poor practicality of mode control methods of current MEMS gyroscopes. The technical solution includes the following steps: firstly designing a disturbance observer, estimating and compensating external disturbance so as to reduce sliding mode buffeting; and based on fuzzy prediction errors and tracking errors, designing a composite adaptive law of a fuzzy logic weight, correcting the weight coefficient of the fuzzy logic so as to achieve effective and dynamic estimation of the unknown dynamics. According to the invention, the method herein, in accordance with the prediction errors and tracking errors, designs the composite learning updatinglaw of the fuzzy logic weight, and corrects the weight coefficient of the fuzzy logic, and finally achieves effective and dynamic estimation of the unknown dynamics. In combination with the sliding mode control theory, the method can implement forward compensation on the MEMS gyroscope in accordance with the unknown dynamics, and further increases the control precision of the MEMS gyroscope. Themethod also designs the disturbance observer so as to estimate and compensate disturbance, thus reducing sliding mode buffeting and providing excellent practicality.