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数据集不均衡下的机电设备工作状态自动化控制系统

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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.
Automatic Control System for Working State of Mechanical and Electrical E-quipment Under Unbalanced Datasets
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 sta-tus data,the control module CAN controller according to the circuit switch state to achieve the electromechanical e-quipment state conversion,PID control algorithm and artificial intelligence technology are adopted to realize the auto-matic 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 cur-rent curve of the controlled electromechanical equipment is basically consistent with the normal working condition,and the control error is between(0.01,0.02).

data imbalancemechanical and electrical equipmentstate controlCAN busPID controlartificial intelli-gence

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国能榆林化工有限公司,榆林 719000

数据不均衡 机电设备 状态控制 CAN总线 PID控制 人工智能

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(3)
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