基于PSO-LM-BP神经网络的压电陶瓷喷射阀撞针与喷嘴松紧度调节  

Adjustment of Tightness of Striker and Nozzle of Piezoelectric Ceramic Injection Valve Based on PSO-LM-BP Neural Network

作　　者：朱燕飞 王明月 李传江[1] 顾亚 ZHU Yanfei;WANG Mingyue;LI Chuanjiang;GU Ya(College of Information,Mechanical and Engineering,Shanghai Normal University,Shanghai 201418,China)

机构地区：[1]上海师范大学信息与机电工程学院,上海201418

出　　处：《压电与声光》2023年第1期33-38,共6页Piezoelectrics & Acoustooptics

基　　金：国家自然科学基金青年项目(61903050);上海市自然科学基金项目(22ZR1445300);上海师范大学科研项目(SK202118)。

摘　　要：压电陶瓷喷射阀是点胶机器人的核心执行部件,其撞针与喷嘴顶紧的松紧度对点胶频率、胶点体积、单点胶量等都会产生影响。现有技术中对撞针喷嘴顶紧的松紧度均是按操作经验手动调节,此种方法调节较费时且无法做到每次调节的松紧度都保持一致。为了解决现有技术中的不足,该文设计了一种基于电流传感器的压电陶瓷喷射阀撞针与喷嘴顶紧的松紧度调节方法。通过实时采集控制器的负载电流,利用改进的BP神经网络离线建立电流值与对应的螺套旋转角度之间的模型,经过角度值变换得出松紧度的相对值,使每次调节的松紧度都保持一致,以保证压电陶瓷的位移相同。实验结果表明,建立的模型基本能够根据相对值来保证松紧度一致,并实现了可视化调节。The piezoelectric ceramic injection valve is the core executive component of the dispensing robot,and the tightness of its striker and nozzle will affect the dispensing frequency,the volume of glue point,and the amount of glue in a single point and so on.In the prior art,the tightness of the top tightening of the striker and nozzle is manually adjusted according to the operation experience.This method is time-consuming and cannot keep the same tightness every time.In order to overcome the shortcomings of the existing technology,this paper designs a method to adjust the tightness of the top tightening of the striker and nozzle of piezoelectric ceramic injection valve based on the current sensor.By collecting the load current of the controller in real time,the model between the current value and the corresponding screw sleeve rotation angle is established offline by using the improved BP neural network.The relative value of the tightness is obtained via the transformation of the angle value,so that the tightness of each adjustment is consistent to ensure the same displacement of piezoelectric ceramics.The experimental results show that the established model can basically ensure the consistency of tightness according to the relative value,and realize the visual adjustment.

关 键 词：压电陶瓷 松紧度 PSO-LM-BP神经网络 可视化调节 粒子群算法 

分 类 号：TN384[电子电信—物理电子学] TN305.99