Study of Robust H∞ Filtering Application in Loosely Coupled INSGPS System

Abstract EN

Since a celebrate linear minimum mean square (MMS) Kalman filter in integration GPS/INS system cannot guarantee the robustness performance, a H∞ filtering with respect to polytopic uncertainty is designed.

The purpose of this paper is to give an illustration of this application and a contrast with traditional Kalman filter.

A game theory H∞ filter is first reviewed; next we utilize linear matrix inequalities (LMI) approach to design the robust H∞ filter.

For the special INS/GPS model, unstable model case is considered.

We give an explanation for Kalman filter divergence under uncertain dynamic system and simultaneously investigate the relationship between H∞ filter and Kalman filter.

A loosely coupled INS/GPS simulation system is given here to verify this application.

Result shows that the robust H∞ filter has a better performance when system suffers uncertainty; also it is more robust compared to the conventional Kalman filter.