引用本文:杨洪玖,李鹏,袁源,等.基于因果逻辑关系的CPS分布式控因研究[J].控制与决策,2019,34(11):2337-2342
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基于因果逻辑关系的CPS分布式控因研究
杨洪玖1, 李鹏1, 袁源2, 李丽3
(1. 天津大学电气自动化与信息工程学院,天津300072;2. 西北工业大学航天学院西安710072;3. 燕山大学电气工程学院,河北秦皇岛066044)
摘要:
针对多子系统间存在复杂因果逻辑关系的信息物理系统(cyber-physical systems,CPS),建立带有未知非线性项和不确定耦合项的CPS多因系统模型,并提出基于云控制技术的分布式控因方法.利用非线性解耦观测器对CPS多因系统进行动态前馈线性化,使得CPS多因系统分解为多个无耦合关联的CPS因系统.设计基于非线性解耦观测器的分布式模型预测控制器以及分布式优化算法,对解耦后的CPS因系统实现在线约束优化控制.最后,通过数值仿真表明所提出控制策略和优化算法的有效性.
关键词:  CPS多因系统  云控制  非线性解耦观测器  分布式模型预测控制
DOI:10.13195/j.kzyjc.2018.1680
分类号:TP273
基金项目:国家自然科学基金项目(61573301);国防科技创新特区项目.
Research on distributed control-cause for cyber-physical system based on cause-effect logic relations
YANG Hong-jiu1,LI Peng1,YUAN Yuan2,LI Li3
(1. School of Electrical and Information Engineering,Tianjin University,Tianjing 300072,China;2. School of Astronautics,Northwestern Polytechnical University,Xián 710072,China;3. School of Electrical Engineering,Yanshan University,Qinhuangdao 066044,China)
Abstract:
For cyber-physical systems(CPS) with complex cause-effect logic relations between multiple subsystems, a CPS multi-cause system model with unknown nonlinear and uncertain coupling is established. A distributed control-cause method is also proposed based on cloud control technologies. A nonlinear decoupled observer is designed to achieve dynamic feedforward linearization for the CPS multi-cause system which is decomposed into multiple CPS cause systems without coupling. By the nonlinear decoupled observer, both a distributed model predictive controller and a distributed optimization algorithm are given to realize online constrained optimization control for the multiple CPS cause systems. Effectiveness of the proposed control strategy and optimization algorithm is verified by a numerical simulation.
Key words:  CPS multi-cause system  cloud control  nonlinear decoupled observer  distributed model predictive control

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