The invention discloses an MEMS (micro-electromechanical system) gyroscope fuzzy sliding mode control method based on compound learning, and aims to solve the technical problem of poor practicabilityof an existing MEMS gyroscope mode control method. The technical scheme includes that compound adaptive laws of fuzzy logic weights are designed according to fuzzy prediction errors and tracking errors, weight coefficients of fuzzy logics are corrected, effective dynamic estimation of unknown dynamics is achieved, a system is indeterminate for parameters and insensitive to external interference ina sliding mode, and feed forward compensation of the unknown dynamics is achieved by the aid of a sliding mode controller. According to the method, the prediction errors and the tracking errors are considered, compound learning update laws of the fuzzy logic weights are designed, the weight coefficients of the fuzzy logics are corrected, effective dynamic estimation of the unknown dynamics is achieved, feed forward compensation of the MEMS gyroscope unknown dynamics is achieved according to sliding mode control theories, the control accuracy of an MEMS gyroscope is further improved, and the method is good in practicability.