The invention relates to a genetic optimization-based superfluid gyroscope control system design method. According to the working principle of a double weak connection superfluid gyroscope, a mathematical model of the superfluid gyroscope is established; a superfluid gyroscope angular velocity model is established by use of an amplitude locking compensation method; an overlap factor is introduced into a superfluid control loop with a fuzzy controller, by use of genetic algorithm of indirect encoding triangular membership function left halfwidth, a membership function of the fuzzy controller can be optimized, genetic optimization efficiency and fuzzy controller control precision can be improved, and the whole superfluid gyroscope control system performance can be improved. The genetic optimization-based superfluid gyroscope control system design method belongs to the technical field of the new concept gyro control, and can be applied to the optimization design of control system of the superfluid gyroscope.