非线性振动结构的自适应控制和识别

ADAPTIVE CONTROL AND IDENTIFICATION OF NONLINEAR VIBRATING STRUCTURES

  • 摘要: 在结构主动控制中,识别和控制是两个不可分割的部分。本文研究了非线性振动结构在任意随机干扰激励下的自适应主动控制及参数识别计算方法,给出了非线性结构基于ARMA模型的等价线性模型及预报、控制律方程,提出了能快速向控制系统在线地提供识别参数的自适应识别方法-共轭迭代预报误差法(CRPEM).该法与通常的RPEM及递推最小二乘法相比,具有快速等明显的优点,能较好地与自适应控制系统相匹配。

     

    Abstract: Identification and control are the two main components of the adaptive active control of vibrating structures. In this paper, an algorithm of stochastic adaptive active control and identification of the nonlinear vibrating structures under any random excitation is presented, whose features are that the nonlinear vibrating structure is mapped into an equivalent linear structure based on ARMA model and the optimal prediction of d-step-ahead output and the optimal control are separated in linear state.Furthermore, an adaptive (online) identification technique which is called as Conjugate Direction Recursive Prediction Error Method CRPEM is proposed.

     

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