Active Control of Structures Using Neural Networks and Fuzzy Logic

该项目延续并扩展了1992年伊利诺伊大学研究人员在美国国家科学基金会结构控制项目下使用神经网络的主动结构控制方法的发展。这种新的结构控制方法中的主控制器是一个经过训练的神经网络，称为神经控制器。神经控制器的训练是借助于仿真神经网络来完成的，仿真神经网络首先被训练来学习结构行为。数值仿真结果表明，与其他控制方法相比，这种结构控制方法具有更好的鲁棒性和固有的自适应特性。本课题将继续对基于神经网络的结构控制方法进行研究，包括：(1)新结构控制方法的实验验证；(2)推广到非线性控制问题。实验工作将分两个阶段进行。在初始阶段，将对仿真神经网络和神经控制器进行大量的试错、调整和在线训练。验证试验将在伊利诺伊大学结构工程实验室的振动台上进行，使用三层一湾结构模型，类似于数值模拟中使用的模型。下一阶段的实验工作将在NCEER的设施上进行，在一个更大的结构模型上。最后，必须将这种新的结构控制方法推广到结构承受不可预测损伤时的非线性控制问题，发展出一种切实可行的非线性结构控制方法。* * *

9503209 Ghaboussi This project continues and extends the development of an active structural control method using neural networks by the investigators at the University of Illinois in 1992 under the NSF's structural control program. The main controller in the new method of structural control is a trained neural network, referred to as the neuro-controller. The training of the neuro-controller is accomplished with the aid of an emulator neural network, which is first trained to learn the structural behavior. Results from the numerical simulations showed that the new structural control method performs well compared to other control methods and is far more robust as well as being an inherently adaptive controller. In this project research on neural network based methods of structural control will be continued to consist of (1) experimental verification of the new structural control method; and (2) the extension into nonlinear control problems. The experimental work will be done in two stages. In the initial stage, extensive trial and error, adjustment and the online training of the emulator neural network and the neuro-controller will be done. Verification tests will be conducted on the shaking table at the University of Illinois Structural Engineering Laboratory, using a three story, one bay structural model, similar to those used in numerical simulations. The next stage of experimental work will be conducted at the NCEER facilities, on a larger structural model. Finally, the new method of structural control must be extended to address the problem of nonlinear control of structures sustaining unpredictable damage and develop a feasible and practical method of nonlinear structural control. ***