Distributed sliding-mode cloud predictive formation control of networked multi-agent systems with application to air-bearing spacecraft simulators

Chi, Chuanguo1,4; Lin, Dong1,3; Ionescu, Clara-Mihaela4,5; Liu, Guo-Ping1,2

2023-08-01

10.1016/j.conengprac.2023.105580

CONTROL ENGINEERING PRACTICE   影响因子和分区

0967-0661

1873-6939

This paper investigates the application of distributed sliding-mode cloud predictive control scheme in networked multi-agent control systems (NMACS). A sliding-mode cloud predictive control (SMCPC) scheme based on the cloud control system is designed. Combining the advantages of variable structure control (VSC) of sliding-mode control(SMC) and the advantages of cloud predictive control (CPC) in handling network delays, the network delay is actively compensated while ensuring the stability and output consistency of the NMACS. Also taking advantage of the small online computation of SMC, reduces the burden of CPC in processing big data and increases the computation rate. In addition, the scheme includes multi-step state prediction and output prediction as well as coordinated optimization among multiple agents. By optimizing the cost function design, the SMCPC scheme is guaranteed to achieve the desired control performance in multi-agent formation control. And the feasibility of the control scheme is verified by stability and consistency analysis. The applicability of the control scheme in practical applications is verified by air-bearing spacecraft simulator (ABS) formation control experiments.

Distributed cloud predictive control Sliding-mode control Networked multiagent systems Formation control Control of air-bearing spacecraft simulator

SCI ; EI

英语

通讯

National Natural Science Foundation of China["62173255","62188101"] ; Chinese Scholarship Council (CSC)[202106120085]

Automation & Control Systems ; Engineering

Automation & Control Systems ; Engineering, Electrical & Electronic

WOS:001012716700001

PERGAMON-ELSEVIER SCIENCE LTD

20232314179662

Bearings (machine parts) ; Cost functions ; Data handling ; Multi agent systems ; Networked control systems ; Sliding mode control

Machine Components:601.2 ; Digital Computers and Systems:722.4 ; Data Processing and Image Processing:723.2 ; Control Systems:731.1 ; Control System Applications:731.2 ; Optimization Techniques:921.5

ENGINEERING

Web of Science

1.Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China
2.Southern Univ Sci & Technol, Control Sci & Technol, Shenzhen 518055, Peoples R China
3.State Grid Fujian Elect Power Res Inst, Fuzhou 350007, Peoples R China
4.Univ Ghent, Dept Electromech Syst & Met Engn, Res Grp Dynam Syst & Control, B-9052 Ghent, Belgium
5.Flanders Make Consortium, Ccore lab, MIRO, Tech Lane Sci Pk 131, Ghent, Belgium

Chi, Chuanguo,Lin, Dong,Ionescu, Clara-Mihaela,et al. Distributed sliding-mode cloud predictive formation control of networked multi-agent systems with application to air-bearing spacecraft simulators[J]. CONTROL ENGINEERING PRACTICE,2023,137.

Chi, Chuanguo,Lin, Dong,Ionescu, Clara-Mihaela,&Liu, Guo-Ping.(2023).Distributed sliding-mode cloud predictive formation control of networked multi-agent systems with application to air-bearing spacecraft simulators.CONTROL ENGINEERING PRACTICE,137.

Chi, Chuanguo,et al."Distributed sliding-mode cloud predictive formation control of networked multi-agent systems with application to air-bearing spacecraft simulators".CONTROL ENGINEERING PRACTICE 137(2023).