抄録
The structural identification and dynamic control of large-scale structures are considered to be difficult due to the structural complicacy and system uncertainties. Active Mass Driver(AMD) has been used as an efficient control actuator based on conventional control methods and control design. In this paper, based on the concept of decentralized information structures for large scale systems and artificial neural networks, a decentralized non-parametric identification method which is the basement for earthquake response control of large-scale structures by AMD system is proposed. And because accelerometers can readily provide reliable and inexpensive measurement of absolute structural acceleration at strategic points on a structure, development of identification method based on acceleration feedback is presented. The effectiveness of the decentralized identification is evaluated through numerical simulations. It is shown that the decentralized neural-emulators enable to identify the coupled system and to reproduce the structural response under different seismic excitations with a great accuracy.
