A dual Kalman filter approach for state estimation via output-only acceleration measurements

作者：Azam, Saeed Eftekhar; Chatzi, Eleni; Papadimitriou, Costas^*

来源：Mechanical Systems and Signal Processing, 2015, 60-61: 866-886.

DOI：10.1016/j.ymssp.2015.02.001

• Kalman filter
• State estimation
• Input estimation
• Response prediction
• Unknown input

A dual implementation of the Kalman filter is proposed for estimating the unknown input and states of a linear state-space model by using sparse noisy acceleration measurements. The successive structure of the suggested filter prevents numerical issues attributed to un-observability and rank deficiency of the augmented formulation of the problem. Furthermore, it is shown that the proposed methodology furnishes a tool to avoid the so-called drift in the estimated input and displacements commonly encountered by existing joint input and state estimation filters. It is shown that, by fine-tuning the regulatory parameters of the proposed technique, reasonable estimates of displacements and velocities of structures can be accomplished.

• 出版日期2015-8