摘要
在输电线路舞动控制中,输电线路舞动状态的预测精度不足可能导致舞动控制的效果不够理想。为了解决这一问题,提出了面向输电线路舞动抑制的AI主动控制方法。利用光纤光栅应变传感器获取输电线路的姿态信息,结合极端随机森林AI智能算法对监测数据特征进行递归划分,输出输电线路舞动状态的最优预测结果。通过构建Smith预估控制模型的闭环传递函数,实现输电线路舞动的AI主动控制。结果表明,该方法能够减小输电线路的舞动幅度,将其控制在0.4m以内,舞动响应减少93.8%,控制效果较优,在输电线路运维管理工作中具有良好的实践应用前景。
In the control of transmission line wobble,insufficient prediction accuracy of the transmission line wobble state may lead to unsatisfactory wobble control effects.To address this issue,an AI active control method for wobble suppression of transmission lines is proposed.Fiber bragg grating strain sensors are utilized to acquire the posture information of transmission lines,and the extreme random forest AI intelligent algorithm is combined to recursively partition the features of the monitored data,thereby outputting the optimal prediction results of the transmission line wobble state.By constructing the closed-loop transfer function of the Smith predictor control model,AI active control of transmission line wobble is achieved.The results indicate that this method can reduce the wobble amplitude of transmission lines to within 0.4 m,with a 93.8%reduction in wobble response,demonstrating superior control effects and exhibiting favorable practical application prospects in the operation and maintenance management of transmission lines.
作者
侯鹏
HOU Peng(Electric Power Engineering Branch,Electric Power Technical Service Company,China National Petroleum Corporation Electric Power Co.,Ltd.,Daqing,Heilongjiang 163000,China)
出处
《自动化应用》
2025年第16期170-172,共3页
Automation Application
关键词
AI主动控制
输电线路
线路舞动
舞动抑制
主动控制
AI active control
transmission line
line wobble
wobble suppression
active control
作者简介
侯鹏,男,1988年生,助理工程师,研究方向为电力自动化。
