Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (5): 743-747.DOI: 10.12068/j.issn.1005-3026.2015.05.029

• Resources & Civil Engineering • Previous Articles     Next Articles

A New Semi-active Control Algorithm for Suppressing the Vibration of Multi-storey Buildings

MA Yong-quan, QIU Hong-xing, QI Yong-cheng   

  1. College of Civil Engineering, Southeast University, Nanjing 210096, China.
  • Received:2013-11-16 Revised:2013-11-16 Online:2015-05-15 Published:2014-11-07
  • Contact: MA Yong-quan
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Abstract: To effectively suppress the seismic responses of multi-storey buildings, a new adaptive neural network control strategy based on the modified genetic algorithm (MGA_ANNC) was proposed. First, the reference trajectory of uncertain and nonlinear structures was tracked, and the tracking accuracy was ensured by using the radial basis function network. Next, the initial values of consequent parameter vectors were selected by using the modified genetic algorithm. Finally, the semi-active control strategy MGA_ANNC/MCO used for TM-MRD was proposed by using the modified clipped optimal (MCO) control algorithm. The various evaluation criteria of a 9-storey frame structure under the non-control, MGA_ANNC/MCO semi-active control, MGA_ANNC active control and linear quadratic gaussian (LQG) active control were calcalated, respectively. The results indicated that the seismic reduction effects of both MGA_ANNC/MCO and MGA_ANNC are obviously superior to those of LQG.

Key words: building, neural network, vibration control, modified genetic algorithm(MGA), Lyapunov stability theory

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