A Perturbation Observer Based Robust Estimation Technique for Structural Monitoring and Control

摘要

This paper reports a robust state estimation methodology for uncertain structural systems in the context of integrating standard state estimator and perturbation observer. It is characterized by its adaptive property which can accommodate time-varying perturbations including disturbance loads and model uncertainties. Two types of algorithm are suggested depending on the given system model: the one is a robust deterministic state estimator and the other is a robust extended Kalman filter for stochastic systems. A numerical example is given to validate the proposed schemes.