Time Domain State Space Identification for Structural System Controls

摘要

An integrated time domain state space identification technique for structural systems is presented. This technique integrates the Observability Range Space Extraction identification algorithm, Balanced Realization model reeducation algorithm, and Least Square model updating algorithm to generate low order and highly accurate state space models for structural systems based upon time domain data. Experimental results of applying it to the MIT Middeck Active Control Experiment (MACE) are also discussed. MACE is an active structure control experiment to be conducted in the Space Shuttle middeck.