The invention relates to a generalized
state space average modeling method based on aircraft
electric power system dynamic characteristics. The method includes the steps that time-variant
nonlinear differential equations of all links of an aircraft
electric power system are built according to an aircraft
electric power system structure; state variables are determined according to the differential equations in the above step, Fourier
decomposition is conducted on the state variables, and the state variables described by the Fourier coefficients are obtained; the obtained Fourier coefficient state variables are substituted into the differential equations, and a generalized
state space average model of the aircraft
electric power system is obtained; the dynamic characteristics of different time scales of the aircraft
electric power system are analyzed according to different flying working conditions of an aircraft; the generalized
state space average model of the aircraft
electric power system is simplified according to the dynamic characteristics. The generalized state space average modeling method has the advantages that by means of the method, the operating working conditions and dynamic characteristics of the aircraft electric power system can be discriminated, a
time domain model can be replaced in
system analysis and design, the
time domain model can be simplified into the state space average model in the
steady state, good
engineering accuracy is achieved, fast analysis ability is achieved as well, and the generalized state space average modeling method is suitable for the field of
steady state and
transient state analysis of different aircraft models.