基于自适应模糊控制算法的公路桥梁MR半主动控制

摘要：为了有效处理振动控制中结构的非线性和外界荷载的不确定性，提出了基于自适应模糊控制算法（AFLC）的MR半主动控制算法。AFLC通过在线调节规则后件隶属度函数，以自适应模糊控制系统逼近等价控制律。通过引进Lyapunov稳定性理论设计了相应的自适应率。在此基础上结合限幅最优控制算法（clipped optimal）设计了适合MR阻尼器的半主动控制算法（AFLC/clipped optimal）。针对最近提出的公路桥梁控制的Benchmark问题进行仿真分析，结果表明：在不同场地类型和幅值的地震作用下，基于AFLC算法的主动和半主动控制策略都能够有效的抑制结构的地震响应，且MR半主动控制策略的控制效果与主动控制相近，表明了这种半主动控制策略具有很高的工程应用价值。

Semi-active control with MR damper for highway bridge based on adaptive fuzzy control algorithm

Abstract： Semi-active control algorithm for MR damper based on adaptive fuzzy control (AFLC) is proposed in this paper for dealing with nonlinearity and uncertainty of structure and external loadings. Equivalent control law is approximated by the adaptive fuzzy control system by adjusting the membership functions of conclusion part in rules on line. Lyapunov stability theorem is employed to design the adaptive law. AFLC is integrated with clipped optimal control algorithm for MR damper. Benchmark control problem for a seismically excited highway bridge developed recently is simulated, results show that active and semi-active control strategy based on AFLC reduce response quantities of structure effectively when suffered to seismic loadings with different soil type and different amplitude, semi-active achieve almost the same control performance of active control, this superiority promises a very high value in popularization and application of MR semi-active control strategy.