用神经网络对结构振动主动控制力的仿真算法
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摘要
本文在运用经典最优控制算法讨论结构地震反应主动控制的基础上,应用人工神经网络理论中的BP网络模型提出结构振动主动控制力的新算法。工程实例的仿真结果表明:采用本文提出的算法较好的解决了求解控制力时由于传统算法本身的时迟问题,从而使结构振动的主动控制的品质得到很大的提高,并且避免了控制失稳现象的出现。
This paper presents a new algorithm for structural vibration active controlling forces with BP network model in artificial neural network theory based on using classical optimal control algorithm to discuss the active control of the seismic responses of structure.The simulation results for engineering example indicate that the timedelay problem,which results from the traditional algorithms for solving controlling forces,is coped with well by the new algorithm given in this paper.The qualities of active control for structural vibration become better and the phenomenon of control unstability is avoided owing to the new method.
引文
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