Constrained discrete-time state-dependent Riccati equation control for decentralized multi-agent systems

Insu Chang, Joseph Bentsman, Sang Young Park, Chandeok Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The objective of this paper is to introduce the constrained discrete-time statedependent Riccati equation (CD-SDRE) technique for decentralized multi-agent systems. First, a D-SDRE for tracking control is derived analytically. Then, the latter is utilized in formulating the distributed D-SDRE control law. The constraint problem of the D-SDRE/distribued D-SDRE is then addressed by recasting it into a model predictive control (MPC) problem. Solution of the latter is then carried out using particle swarm optimization (PSO), which facilitates estimation of the states and control inputs for the D-SDRE control law calculation. The use of decentralized CD-SDRE scheme in a networked system in the presence of constraints is then systematically demonstrated by applying this scheme to reconfiguration problems of spacecraft formation flying under constrained actuation. Simulation results demonstrate the efficacy and reliability of the proposed CD-SDRE in the decentralized control of the spacecraft formation flying.

Original languageEnglish
Title of host publicationAstrodynamics 2013 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the AAS/AIAA Astrodynamics Specialist Conference
PublisherUnivelt Inc.
Pages3191-3210
Number of pages20
ISBN (Print)9780877036050
Publication statusPublished - 2014
Event2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013 - Hilton Head Island, SC, United States
Duration: 2013 Aug 112013 Aug 15

Publication series

NameAdvances in the Astronautical Sciences
Volume150
ISSN (Print)0065-3438

Other

Other2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013
Country/TerritoryUnited States
CityHilton Head Island, SC
Period13/8/1113/8/15

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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