智能磁流变(MR)阻尼器半主动控制的研究

提出了一种基于磁流变(MR)阻尼器的结构智能半主动控制方法。利用模糊神经网络辨识出能真正反映磁流变阻尼器动力特性的智能辨识模型，在此基础上提出一种基于最佳逼近Bang—Bang主动控制的智能半主动控制算法，从而使得MR阻尼器在每一控制瞬时始终处于最大耗能状态，有效地减小了结构在地震作用下的位移与加速度响应。算例仿真验证了所提方法的有效性与实用性。

Study on Structural Intelligent Semi-Active Control Based on MR Damper

A semi-active control using a MR damper based on intelligent theory is presented in this paper. The most important issue of MR dampers: dynamic characteristic identification of a MR controllers, is addressed in this paper based on a strong nonlinear modeling ability of fuzzy neural networks (FNN), and the real dynamical characteristic of a MR controller is identified using measured data from shaking-table test of the MR damper. An intelligent control method based on Bang-Bang active control is proposed to bring the maximum dissipatire ability of the MR damper at every control instant into full play so that the displacement and acceleration of the controlled structure induced by an earthquake excitation are reduced effectively. The effectiveness and engineering practicality of the approach are validated by numerical simulation, which further indicates that the vibration control approach presented in the paper is a most appealing and promising control means in engineering practice.