A numerical method for nonlinear sensitivity variation analysis of satellite momentum wheel was proposed based on the fuzzy theory

so as to evaluate the overall variation characteristics of stability system by changing the fuzzy similarity relation of engineering practice into the fuzzy equivalence relation of space vector. Through simulating the time data sequence of the uniform distribution

linear distribution and period distribution

the feasibility of model was verified; according to the actual steady-state running test for the three sets of satellite momentum wheels

this method was practical and effective. Among them

the minimum sensitivity coefficient of momentum wheel A was 0.678

greater than the 0.5 threshold

showing that its sensitivity was very good during the operation; however

the minimum sensitivity coefficient of momentum wheel B was 0.439

less than the 0.5 threshold

so its sensitivity produced a variation; and the minimum sensitivity coefficient of momentum wheel C was equal to the 0.5 threshold

showing the momentum wheel C had the most fuzzy relation between stability and variation. The variation process of sensitivity of the momentum wheel was forecasted and described in time. This model is also suitable for many nonlinear poor information problems in the field of space.