数据集不均衡下的机电设备工作状态自动化控制系统

Automatic Control System for Working State of Mechanical and Electrical Equipment Under Unbalanced Datasets

为改善系统控制效果,该文设计数据集不均衡下的机电设备工作状态自动化控制系统。构建机电设备工作状态自动化控制系统框架,利用CAN总线网络将其传输至控制层后,数据处理模块调用SMOTE算法对获取的机电设备工作状态数据作重构处理,控制模块的CAN控制器根据电路开关状态实现机电设备状态的转换后,采用PID控制算法并引入人工智能技术实现机电设备工作状态自动化控制。实验结果表明,该系统可实现机电设备工作状态自动化控制,控制时间短,控制后的机电设备运行电流曲线与正常工况下基本一致,控制误差介于(0.01,0.02)区间。

In order to improve the control effect of the system,the automatic control system of the working state of the electromechanical equipment under the unbalanced data set is designed.Build the framework of electromechanical equipment working status automatic control system,transfer it to the control layer using the CAN bus network,the data processing module calls SMOTE algorithm to reconstruct the obtained electromechanical equipment working status data,the control module CAN controller according to the circuit switch state to achieve the electromechanical equipment state conversion,PID control algorithm and artificial intelligence technology are adopted to realize the automatic control of mechanical and electrical equipment.The experimental results show that the system can realize the automatic control of the working state of the electromechanical equipment,the control time is short,the running current curve of the controlled electromechanical equipment is basically consistent with the normal working condition,and the control error is between(0.01,0.02).