信息共享条件下多MIMO对象的协同与优化控制  

Cooperative and Optimal Control of Multiple MIMO Objects Under Information Sharing

作　　者：邵炯 颉新春[1] 武猛 Shao Jiong;Jie Xinchun;Wu Meng(School of Information and Engineering,Inner Mongolia University of Science&Technology,Baotou 014017,China)

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014017

出　　处：《系统仿真学报》2024年第5期1118-1129,共12页Journal of System Simulation

基　　金：国家自然科学基金(62063026)。

摘　　要：针对信息物理系统(cyber-physical system,CPS)中多个MIMO对象存在协同效率低、控制算法收敛速度慢的问题,提出一种在信息共享条件下多个MIMO对象协同优化控制策略。利用一种仅有物理层与信息层的新型网络控制系统结构,实现了多个MIMO对象的状态变量、控制和检测信息实时共享。在信息共享的条件下,n个MIMO对象通过CPS分配的性能指标和各对象间的物理约束,采用极小值原理设计的协同控制器实现了系统间的自主协同控制,并利用特征值方法证明了多个MIMO对象在控制器自主协同作用下能够实现子系统与CPS性能整体稳定。通过3个相互存在物理约束的双输入双输出对象进行仿真,验证了控制策略的有效性。Aiming at the problems of low cooperative efficiency and slow convergence of control algorithm for multiple MIMO objects in cyber-physical system(CPS),a cooperative optimization control strategy for multiple MIMO objects under the condition of information sharing is proposed.A new network control system structure with only physical layer and information layer is used to realize real-time sharing of state variables,control and detection information of multiple MIMO objects.Under the condition of information sharing,based on the performance indexes assigned by CPS and the physical constraints between each object,the cooperative controller designed by minimum principle realizes the autonomous cooperative control among multiple systems.The eigenvalue method is used to prove that multiple MIMO objects can realize the overall performance stability of subsystem and CPS under the autonomous cooperative action of the controller.The effectiveness of the control strategy is verified by the simulation of three double-input and double-output objects with mutual physical constraints.

关 键 词：信息物理系统 MIMO对象 优化控制 信息共享 物理约束 自主协同 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]