Through the calibration test of the output performance of a piezoelectric actuator, the expression of the maximum friction force of the piezoelectric friction dampers was established. Based on the self-tuning fuzzy control principle with analytical expressions, a regular self-tuning fuzzy controller with four adjustment factors was designed. Using MATLAB code, GUI tool and SIMULINK toolbox, the numerical simulation models of a transmission tower structure in the conditions of non-control and fuzzy control was established respectively. The seismic response and control effect of the structure in different operation conditions was analyzed. The simulation results show that the self-tuning fuzzy control system can change the control force of the piezoelectric friction damper in real-time according to the dynamic response of the model structural, and has better control effect than the traditional fuzzy control method. Except for the slight enlargement of the peak velocity of the first layer of the structure, the peak displacement and peak velocity response of the other layers are well suppressed after using the self-tuning fuzzy control. In addition, the third layer with large interfacial distortion has the best control effect. The peak displacement decreases by 44.64%and the peak speed reduces by 37.96%.%通过压电驱动器的出力性能标定试验,建立压电摩擦阻尼器的最大摩阻力表达式;采用基于解析表达式的自适应模糊控制方法,设计含有四个调整因子的规则自调整模糊控制器;综合运用MATLAB语言、GUI工具以及SIMULINK工具箱建立输电塔模型结构无控和模糊控制时的数值模拟系统,分析结构在不同工况下的地震响应和控制效果.结果表明:自调整模糊控制系统能够根据模型结构的动力反应实时改变压电摩擦阻尼器的控制力,且相比传统模糊控制表现了更好的控制效果;自调整模糊控制后,除一层的速度峰值略有放大外,模型结构其余各层的位移和速度峰值响应都得到较好地抑制,且在结构层间变形较大的第三层表现最好的控制效果,位移峰值减小44.64%,速度峰值减小37.96%.
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