Browse > Article
http://dx.doi.org/10.5050/KSNVN.2007.17.7.662

Active Control of Structures Using Lattice Probabilistic Neural Network  

Kim, Dong-Hyawn (군산대학교 해양시스템공학과)
Chang, Seong-Kyu (군산대학교 토목환경공학부)
Kwon, Soon-Duck (전북대학교 토목공학과)
Kim, Doo-Kie (군산대학교 토목환경공학부)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.17, no.7, 2007 , pp. 662-667 More about this Journal
Abstract
A new neuro-control scheme for active control of structures is proposed. It utilizes lattice pattern of state vector as training data of probabilistic neural network(PNN). Therefore. it is the so-called lattice probabilistic neural network(LPNN). PNN makes control forces by using all the training patterns. Therefore, it takes much time to obtain a control force in application. This inevitably may delay the control action. However. control force of LPNN is calculated by using only the adjacent information of LPNN input. So, the response of LPNN is greatly faster than PNN. The proposed control algorithm is applied for three story building under California and El Centro earthquakes. Also, control results of the LPNN are compared with those of the conventional PNN. The structural responses have been suppressed effectively by the proposed algorithm.
Keywords
Active Control; Lattice Probabilistic Neural Network; Structures; Earthquake;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Chen, H. M., Tsai, K. H., Qi, G. Z., Yang, J. C. S. and Amini, F., 1995, 'Neural Network for Structural Control', ASCE Journal of Computation in Civil Engineering, Vol. 9, No. 2, pp. 168-176   DOI   ScienceOn
2 Kim, D. H., Oh, J. W. and Lee, I. W., 2002, 'Cerebellar Model Articulation Controller (CMAC) for Suppression of Structural Vibration', ASCE Journal of Computing in Civil Engineering, Vol. 16, No. 4, pp. 291-298   DOI   ScienceOn
3 Ghaboussi, J. and Joghataie, A, 1995, 'Active Control of Structure Using Neural Networks', ASCE Journal of Engineering Mechanics, Vol. 121, No. 4, pp. 555-567   DOI   ScienceOn
4 Youn, S. H., Han, J. H. and Lee, I., 1998, 'Adaptive Vibration Control of Smart Composite Structures Using Neuro-controller', Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 8, No. 5, pp. 832-840   과학기술학회마을
5 Kim, D. H. and Lee, I. W., 2001, 'Neuro-control of Seismically Excited Steel Structure through Sensitivity Evaluation Scheme', Earthquake Engineering and Structural Dynamics. Vol. 30, pp. 1361-1377   DOI   ScienceOn
6 Kim, D. K., Lee, J. J., Chang, S. K. and Chang, S. K., 2007, 'Active Vibration Control of a Structure Using Probabilistic Neural Network', In Proceeding of the TRB 86th Annual Meeting, Washington, D.C., February
7 Soong, T. T., 1990, Active Structural Control: Theory and Practice, Longman Scientific and Technical
8 Madan, A., 2005, 'Vibration Control of Building Structures Using Self-organizing and Self-learning Neural Networks', Journal of sound and Vibration, Vol. 287, No. 4/5, pp, 759-784   DOI   ScienceOn
9 Bani-Hani, K. and Ghaboussi, J., 1998, 'Nonlinear Structural Control Using Neural Networks', ASCE Journal of Engineering Mechanics, Vol. 124, No. 3, pp. 319-328   DOI   ScienceOn