Abstract
A new approach for identifying the dynamics of large space structures with noisy measurements is presented. In this approach the system's order is recursively determined on-line, along with mode shapes using recursive lattice filters that are widely used in adaptive signal processing. Order determination results are presented using both statistical hypothesis testing and threshold testing. The approach is illustrated for the problem of identifying the structural dynamic characteristics of a free-free beam. Simulation results are presented on the effectiveness and accuracy of the identification scheme for various noise levels, sampling rates, and data window sizes. Experimental results are presented for order and mode shape estimation. The mode shape estimation is compared with that obtained by an alternate nonlinear least-square algorithm.
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