船闸电气系统的智能感知与自适应控制研究  

Research on Intelligent Perception and Adaptive Control of Ship Lock Electrical System

作　　者：谈霄 TAN Xiao(Jiangsu Provincial Shiplock Emergency Support Center for the Xiaojinghang Canal,Huai′an,Jiangsu 223001,China)

机构地区：[1]京杭运河江苏省船闸应急保障中心,江苏淮安223001

出　　处：《自动化应用》2023年第23期27-30,共4页Automation Application

摘　　要：分布式传感网络已被广泛应用于多个领域,但船闸系统的工作环境复杂,应用分布式传感器网络采集数据具有动态性、相关性和多源性的特点,电气系统会面临拓扑结构动态变化带来的挑战,这需要应用智能感知与自适应控制技术提升电气系统的感知能力和控制精度。为此,本文选择与船闸电气系统相匹配的传感器类型,提出数据预处理等方法,从海量传感器数据中提取有价值的数据信息,为自适应控制提供精准的数据支持,并采用模型参考自适应控制(MRAC)算法对船闸电气系统进行建模、参数辨识和参数调优,以实现精确控制,最后综合实验结果和性能评估,为后续的系统优化和升级提供指导。Distributed sensor networks have been widely used in many fields,but the working environment of the ship lock system is complex,and the application of distributed sensor networks for data collection has the characteristics of dynamics,correlation and multi-sources,and the electrical system will face the belt of dynamic topology changes.This requires the application of intelligent perception and adaptive control technology to improve the perception ability and control accuracy of the electrical system.Therefore,this paper selects the sensor type that matches the ship lock electrical system,and proposes data preprocessing and other methods to extract valuable data information from massive sensor data,which provide accurate data support for adaptive control,and adopts the model reference adaptive control(MRAC)algorithm,modeling and parameter identification of the ship lock electrical system,and parameter tuning to achieve precise control.Finally,integrates experimental results and performance evaluation to provide guidance for subsequent system optimization and upgrading.

关 键 词：船闸电气 智能感知 自适应控制 

分 类 号：U641.7[交通运输工程—船舶及航道工程]