【摘要】 由于采用半主动控制的磁流变阻尼器减震结构存在非线性和时变等因素,精确数学模型的建立非常困难。模糊控制是一种比较合适的控制方法,但模糊控制的设计易受人类主观经验的影响而不甚完善,致使控制的效果受到影响。本文利用遗传算法提出一种优化模糊控制规则的新的控制算法,并对安装磁流变阻尼器的某3层钢筋混凝土结构进行了数值仿真,比较了无控结构、模糊控制结构及遗传算法优化模糊控制结构在地震作用下顶层的位移和加速度响应。结果表明:与人为经验设计的模糊控制相比,利用遗传算法优化的模糊控制可使结构顶层位移、加速度的控制效果均得到明显提高。更多还原

【Abstract】 Because the structures with semi-active control system using magnetorheological fluid dampers are influenced by nonlinear and time-varying factors,a precise mathematical model is difficultly established. Although the fuzzy control is an adaptable control method, the design of fuzzy control is easily affected by human subjectivity so that it becomes imperfect and affects control effectiveness. In this paper,a new control algorithm in which fuzzy control rules are optimized by a genetic algorithm is proposed. A three-story reinforced concrete structure with magnetorheological fluid dampers is studied by numerical simulation,and both the displacements and accelerations at the top of the structure without the control,with the fuzzy control and with the optimized fuzzy control by genetic algorithm are analyzed under the actions of earthquakes. The results show that the optimized fuzzy control by genetic algorithm may evidently improve the control effectiveness on displacement and acceleration responses at the top of the structure,compared with the fuzzy control as the design of human experiences.更多还原