Cooperative and Optimal Control of Multiple MIMO Objects Under Information Sharing

doi:10.16182/j.issn1004731x.joss.23-0074

Abstract

Abstract:

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.

Key words: cyber-physical system, MIMO objects, optimization control, information sharing, physical constraints, autonomous collaboration

CLC Number:

TP13

Shao Jiong, Jie Xinchun, Wu Meng. Cooperative and Optimal Control of Multiple MIMO Objects Under Information Sharing[J]. Journal of System Simulation, 2024, 36(5): 1118-1129.

Figures/Tables 14

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被控对象	未加入协同控制策略	加入协同控制策略
第1个	20.0	5
第2个	22.5	7
第3个	24.0	8

策略	CPS平均运行时间
未加入协同控制策略	1.621
加入协同控制策略	2.442
加入预测控制策略	141.104

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