摘要
远程程控恒流源作为智能工厂伺服控制环节的重要部件,定量的求解其远程控制全过程的动态模型对于伺服控制策略生成和优化控制等具有重要意义。本文针对程控恒流源的动态性能分析以及远程高效控制,提出了一种基于边云协同的恒流源动态模型建模方法。该方法考虑了远程控制过程中的通信延迟、数据丢包等相关情况,同时辨识了从云端控制到边端输出的整个模型的结构和参数,并通过离散域和连续域传递函数的转换,获得远程程控恒流源连续域动态模型,克服了传统边端控制对于不同控制时间间隔需要重新建立离散化模型的不便,支持了恒流源所在伺服系统的远程高效控制。仿真验证和应用模拟验证表明,该方法可以精确辨识恒流源连续域动态性能模型并应用于实际边云协同程控系统。
The remote programmable constant current source is an important part of the servo control,and its dynamic model of whole control process is of great significance for the strategy generation and control optimization of the servo control.Aiming at the dynamic performance analysis and remote control of programmable constant current source,this paper proposes a dynamic modeling method based on edge-cloud collaboration.The proposed method takes into account the communication delay,data packet loss and other related situations in the cloud control process.It can simultaneously identify the structure and parameters of the model.Through the transformation of transfer functions of discrete domain and continuous domain,the continuous dynamic model of the constant current source is obtained to support the efficient control of the servo system,it overcomes the inconvenience of re-establishing the discrete model for different control time intervals in traditional side-end control.Finally,simulation verification and application simulation verification show that the method can accurately identify the dynamic model of the constant current source in the continuous domain and can apply to the actual edge-cloud cooperative program control system.
作者
吕建勋
孙玉成
赵鹏辉
袁海文
Lyu Jianxun;Sun Yucheng;Zhao Penghui;Yuan Haiwen(School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2022年第4期90-97,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家重点研发计划(2020AAA0109202)项目资助
关键词
边云协同
程控恒流源
动态性能
模型辨识
edge-cloud collaboration
programmable constant current source
dynamic performance
model identification
作者简介
吕建勋,2006年于北京航空航天大学获得学士学位,2014年于北京航空航天大学获得博士学位,现为北京航空航天大学讲师,主要研究方向为检测技术、先进传感技术、数字信号处理。E-mail:lvjianxun@buaa.edu.cn
