The invention discloses a
zero drift compensation method of an MEMS
gyroscope, which comprises the following steps: Kalman filtering
processing is carried out on output data of the MEMS
gyroscope, and a state
estimation equation adopted in the Kalman filtering
processing process can also be called as an
optimal estimation value at the moment k and can also be called as a state
estimation quantity at the moment k-1, zk is an observed quantity at the moment k, and zk is an observed quantity at the moment k-1; k is a predetermined constant, and the determination mode of K is as follows: the MEMS
gyroscope is arranged on a fixed
test platform; kalman filtering
processing is carried out on output data of the MEMS gyroscope, and a state
estimation equation adopted in the Kalman filtering processing process is as follows: respectively representing state estimators at moments k and k-1, zk is an observed quantity at the moment k and is input of a
Kalman filter, H is a conversion matrix from a
state variable to an observed variable, and Kk is a variable; representing a Kalman
gain generated by iteration in a Kalman filtering processing process; and if it is judged that the Kalman
gain Kk generated by iteration converges to a fixed value within a predetermined interval, the fixed value is regarded as K.