安装MR阻尼器工程结构的非参数模型自适应控制

本文首先建立了结构一磁流变阻尼器非线性系统的非参数模型，该模型不需要太多的受控结构的先验知识，且具有结构简单、参数少，是时变增量形式等优点，因此适合于非线性控制系统的设计。在此基础上，本文提出了非参数模型学习自适应半主动控制算法，并以一个6层框架结构为例，进行了深入的仿真数值分析。计算结果表明，采用本文提出的控制算法能得到令人满意的控制效果。通过在较大范围内选取结构参数值，验证了算法具有较好的鲁棒性。

Model-free learning adaptive semi-active control of structure with MR dampers

The non-parameter model of structure-magnetorheological (MR) damper nonlinear system is established in the paper. The non-parameter model has some merits, such as simple structure, few parameters and time-varying incremental form. Moreover, the model needs less prior knowledge about controlled structure. So it is suitable for the application of the nonlinear control system design. On the basis of this, the model-free learning adaptive (MFLA) semi-active control algorithm is proposed. Taken a six-storey frame structure as an example, plenty of numerical analysis was carried out. The numerical analytical results show that the controlled structure using proposed algorithm can have satisfied control effect. To verify the robustness of the algorithm,a wide range of structural parameters are chosen.