Intelligent vibration control of adaptive piezoelectric truss structure
压电自适应桁架结构智能振动控制

The design, implementation and experimental results of active intelligent vibration control of an adaptive truss structure are presented. An adaptive truss structure with self-learning active vibration control system is developed. A fuzzy-neural-network(FNN) controller with adaptive membership functions is presented. The experimental setup of a two-bay truss structure with active members is constructed, and the FNN controller is applied to suppress the vibration of the truss. First, the output of the accelerometer is sensed as an error signal for activating the adaptation of the weights of the controller; and then, the control command signal is calculated based on the FNN inference mechanism for driving the active members. Experimental results demonstrate that the active FNN controller can effectively reduce the truss vibration.