Prescribed performance tracking control for spacecraft proximity operations with inertia property identification

Zhao, Qin1; Duan, Guangren1,2

2023-10-01

10.1016/j.ast.2023.108555

AEROSPACE SCIENCE AND TECHNOLOGY   Impact Factor & Quartile

1270-9638

1626-3219

This paper investigates the integrated position and attitude tracking control with prescribed performance and inertia property identification for spacecraft proximity operations subject to unknown inertia properties, external disturbances, and input saturation. To pursue this, the radical basis function neural network is utilized to approximate the external disturbances, where the involved weight matrix, together with the unknown inertia properties, is considered as parameter uncertainty. Then, a rank condition to guarantee the parameter identification is proposed within the framework of concurrent learning. Subsequently, an integrated position and attitude tracking controller is designed based on dynamic surface method in conjunction with certain performance functions and a saturation compensator, and concurrent learning adaptive laws are developed for parameter update. It is proven that the proposed controller can achieve position and attitude tracking with prescribed performance and, meanwhile, guarantee the uniform ultimate boundedness of all the closed-loop states. Additionally, the inertia properties, including the mass, inertia matrix, and center of mass location, can be identified with high accuracy. Finally, simulation experiments are carried out to evaluate the effectiveness of the proposed control scheme.

Spacecraft proximity operations Prescribed performance Dynamic surface control Concurrent learning Inertia property identification

SCI

English

First ; Corresponding

National Natural Science Foundation of China[62203207] ; China Postdoctoral Science Foundation[2022T150291] ; Major Program of National Natural Science Foundation of China["61690210","61690212"] ; Science Center Program of the National Science Foundation of China[62188101] ; Shenzhen Key Laboratory of Control Theory and Intelligent Systems[ZDSYS20220330161800001]

Engineering

Engineering, Aerospace

WOS:001060936800001

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER

ENGINEERING

Web of Science

1.Southern Univ Sci & Technol, Shenzhen Key Lab Control Theory & Intelligent Syst, Shenzhen 518055, Peoples R China
2.Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China

Zhao, Qin,Duan, Guangren. Prescribed performance tracking control for spacecraft proximity operations with inertia property identification[J]. AEROSPACE SCIENCE AND TECHNOLOGY,2023,141.

Zhao, Qin,&Duan, Guangren.(2023).Prescribed performance tracking control for spacecraft proximity operations with inertia property identification.AEROSPACE SCIENCE AND TECHNOLOGY,141.

Zhao, Qin,et al."Prescribed performance tracking control for spacecraft proximity operations with inertia property identification".AEROSPACE SCIENCE AND TECHNOLOGY 141(2023).