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Chance-constrained model predictive control for spacecraft rendezvous with disturbance estimation
- Source :
- Control Engineering Practice. 20:111-122
- Publication Year :
- 2012
- Publisher :
- Elsevier BV, 2012.
-
Abstract
- A robust Model Predictive Controller (MPC) is used to solve the problem of spacecraft rendezvous, using the Hill–Clohessy–Wiltshire model with additive disturbances and line-of-sight constraints. Since a standard (non-robust) MPC is not able to cope with disturbances, a robust MPC is designed using a chance-constrained approach for robust satisfaction of constraints in a probabilistic sense. Disturbances are modeled as Gaussian allowing for an explicit transformation of the probabilistic constraints into simple algebraic constraints. To estimate the distribution parameters a predictor of disturbances is proposed. Both robust and non-robust MPC control laws are compared using the Monte Carlo method, which shows the superiority of the robust MPC.
- Subjects :
- Mathematical optimization
Engineering
business.industry
Applied Mathematics
Gaussian
Monte Carlo method
Probabilistic logic
Astrophysics::Cosmology and Extragalactic Astrophysics
Computer Science Applications
Model predictive control
symbols.namesake
Transformation (function)
Control and Systems Engineering
Simple (abstract algebra)
Control theory
symbols
Electrical and Electronic Engineering
Robust control
business
Constraint satisfaction problem
Subjects
Details
- ISSN :
- 09670661
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Control Engineering Practice
- Accession number :
- edsair.doi...........295bbaf05006a0fccfeb687c9f6e3f52