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author:

Huang, Jie (Huang, Jie.) [1] | Zhang, Jiancheng (Zhang, Jiancheng.) [2] | Tian, Guoqing (Tian, Guoqing.) [3] | Chen, Yutao (Chen, Yutao.) [4]

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EI

Abstract:

This paper addresses the trajectory planning and control problem of multi-spacecraft formation reconstruction in the presence of obstacles. By expressing spacecraft dynamics relative to a leader spacecraft in the formation, an integrated planning and control approach named predictive null-space-based behavior control (PNSBC) is proposed. First, a planner using null-space-based behavior control (NSBC) is designed at an upper layer to resolve multi-task conflicts. Here, both global tasks, e.g. formation keeping, and local tasks, e.g. obstacle avoidance, are considered. Second, a tracking controller is designed at the bottom layer using decentralized model predictive control. Unlike traditional two-layer approaches that treat planning and control separately, the proposed PNSBC integrates the planning and control in two ways: 1) the planner provides reference trajectories for the controller to track; 2) the model predictive control (MPC) controller provides predicted trajectories that can be employed by the planner for future task priority predictions, which extends the capability of NSBC from one-step planning to multi-step predicting. In addition, the computational burden of the MPC controller is greatly reduced by putting the nonlinear obstacle avoidance constraints into the planner as a local task. Simulation results show that such integrated approach has better performance in terms of safety constraint guarantee, fuel consumption and travel distance when compared against traditional non-integrated approaches, or all-in-one MPC methods, while constraints and task objectives are fully satisfied. © 2023 COSPAR

Keyword:

Controllers Integrated control Model predictive control Predictive control systems Spacecraft Trajectories

Community:

  • [ 1 ] [Huang, Jie]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Huang, Jie]5G+Industrial Internet Institute, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Zhang, Jiancheng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Jiancheng]5G+Industrial Internet Institute, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Tian, Guoqing]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Tian, Guoqing]5G+Industrial Internet Institute, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Chen, Yutao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 8 ] [Chen, Yutao]5G+Industrial Internet Institute, Fuzhou University, Fuzhou; 350108, China
  • [ 9 ] [Chen, Yutao]The Key Laboratory for Agricultural Machinery Intelligent Control and Manufacturing of Fujian Education Institutions, Wuyishan; 354300, China

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Source :

Advances in Space Research

ISSN: 0273-1177

Year: 2023

Issue: 6

Volume: 72

Page: 2007-2019

2 . 8

JCR@2023

2 . 8 0 0

JCR@2023

ESI HC Threshold:43

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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