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A Hybrid Control Framework for Impulsive Control of Satellite Rendezvous
- Source :
- IEEE Transactions on Control Systems Technology, IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2019, 27 (4), pp.1537-1551. ⟨10.1109/TCST.2018.2812197⟩, 2016 American Control Conference, 2016 American Control Conference, Jul 2016, Boston, United States, IEEE Transactions on Control Systems Technology, 2019, 27 (4), pp.1537-1551. ⟨10.1109/TCST.2018.2812197⟩, ACC
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- International audience; We focus on the problem of satellite rendezvous between two spacecraft in elliptic orbits. Using a linearized model of the relative dynamics, we first propose a periodic similarity transformation based on Floquet-Lyapunov theory, leading to a set of coordinates under which the free motion is linear time-invariant. Then we address the problem of impulsive control of satellite rendezvous as a hybrid dynamical system, and we show that the arising elegant representation enables designing impulsive control laws with different trade-offs between computational complexity and fuel consumption. The adopted hybrid formalism allows us to prove suitable stability properties induced by the proposed controllers. The results are comparatively illustrated on simulation examples.
- Subjects :
- Physics
020301 aerospace & aeronautics
0209 industrial biotechnology
Spacecraft
Computational complexity theory
business.industry
Computer science
Rendezvous mission
Rendezvous
Hybrid Control
02 engineering and technology
Matrix similarity
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Formalism (philosophy of mathematics)
020901 industrial engineering & automation
0203 mechanical engineering
Control and Systems Engineering
Control theory
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
0202 electrical engineering, electronic engineering, information engineering
Fuel efficiency
020201 artificial intelligence & image processing
Satellite
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 23740159 and 10636536
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Control Systems Technology
- Accession number :
- edsair.doi.dedup.....41ec411d821928c325a830faac1d8168
- Full Text :
- https://doi.org/10.1109/tcst.2018.2812197