中国科学技术大学学报 ›› 2014, Vol. 44 ›› Issue (7): 618-622.DOI: 10.3969/j.issn.0253-2778.2014.07.012

• 论著 • 上一篇    

基于模型参数辨识的网络化系统控制策略

李美莲   

  1. 安徽三联学院,安徽合肥 230033
  • 收稿日期:2014-03-06 修回日期:2014-05-17 接受日期:2014-05-17 出版日期:2023-05-11 发布日期:2014-05-17
  • 作者简介:李美莲,女,1979年生,硕士/讲师. 研究方向:信号处理. E-mail: 136172013@qq.com
  • 基金资助:
    安徽省教育厅自然科学基金(KJ2013B089)资助.

Control scheme for networked systems based on model parameter identification

LI Meilian   

  1. Anhui Sanlian University, Hefei 230033, China
  • Received:2014-03-06 Revised:2014-05-17 Accepted:2014-05-17 Online:2023-05-11 Published:2014-05-17

摘要: 针对网络控制系统中普遍存在的有限带宽问题,提出了基于模型参数辨识的网络化系统控制策略.该系统由多个子系统构成,各子系统包括辨识模块、更新模块和控制器模块等.系统在闭环更新周期内,通过辨识模块在线辨识系统参数以构造被控对象的动态模型并重构其状态,更新模块利用已辨识参数更新被控对象模型参数,最后由控制器模块输出控制量.系统通过合理地设计闭环更新周期,调节模型与被控对象的匹配程度,达到减小系统对网络带宽的需求及提高网络的使用率,进而实现基于模型的控制策略.结合直流电机的网络化控制系统进行的Matlab仿真实验,结果证明了所提方法的有效性.

关键词: 网络控制系统, 有限带宽, 基于模型, 参数辨识

Abstract: In view of the limited bandwidth issues prevalently existing in the network control system (NCS), a system control scheme based on model parameter identification was presented. The system consists of several subsystems,each subsystem including an identification module, an update module and a controller module. In the closed-loop system update cycle, NCS constructed a dynamic model of the controlled object and reconstructed its state through online identification by the identification module, the update module updated the model parameter of the controlled object by the identified parameters, and finally the controller module output control variables. By designing rational cycle time and adjusting the matching degree of the module with the controlled object, the systems requirement for network bandwidth was reduced, and network utilization was improved, and thus the model-based control scheme was achieved. Matlab simulation was conducted in combination with the networked system of DC motors and the result shows the effectiveness of the proposed method.

Key words: networked control system, limited bandwidth, model-based, parameter identification

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