Aeroengine state variable modeling based on the PSO algorithm

In this paper, a detailed research about aeroengine small perturbation State Variable Model (SVM) has been carried out. The small perturbation SVM was obtained by using partial derivative method and the particle swarm optimization (PSO) algorithm was selected to optimize parameter matrices. On the basis of comparison, the calculation results of the SVM have quite remarkable consistency with those results calculated by the nonlinear model. In order to better verify the accuracy and efficiency of this method, a real-time piecewise linear dynamic model (RPLDM) was constructed; and a transient simulation on sea-level condition was carried out. The results showed that the proposed approach to establishing the small perturbation SVM and the RPLDM was highly rated in validity and applicability.