Hankel Matrix Correlation Function-Based Subspace Identification Method for UAV Servo System

الملخص EN

For the identification problem of closed-loop subspace model, we propose a zero space projection method based on the estimation of correlation function to fill the block Hankel matrix of identification model by combining the linear algebra with geometry.

By using the same projection of related data in time offset set and LQ decomposition, the multiplication operation of projection is achieved and dynamics estimation of the unknown equipment system model is obtained.

Consequently, we have solved the problem of biased estimation caused when the open-loop subspace identification algorithm is applied to the closed-loop identification.

A simulation example is given to show the effectiveness of the proposed approach.

In final, the practicability of the identification algorithm is verified by hardware test of UAV servo system in real environment.