Magnetic network energy router parameter identification method based on particle filtering

The invention discloses a magnetic network energy router parameter identification method based on particle filtering, and the method comprises the steps: building state variables for model parameter output capacitance and series inductance in a magnetic network energy router, and carrying out the identification of the state variables in real time through a particle filtering algorithm; the particle filtering algorithm comprises the following steps: constructing a state equation and an observation equation; iteration of the particle swarm is carried out; and simulating probability distribution of the state variables according to distribution of the particle swarm so as to obtain parameter identification values of the state variables. According to the method, factors based on experience and subjectivity do not need to be introduced, a state equation and an observation equation are established according to deadbeat control, and through iteration of a particle swarm and simulation of probability distribution of s