Robust H∞ control for spacecraft formation flying with coupled translational and rotation dynamics

Huang, Yi; Jia, Yingmin; Matsuno, Fumitoshi

doi:10.1109/acc.2016.7525559

Cited by 5 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different formation flying architectures and their relevant control design techniques are discussed in many research works. 14,15 Some recent studies on control techniques for spacecraft formation flying include robust control in presence of uncertainties, 16 adaptive control, 17,18 robust adaptive control based on a sliding mode concept in the presence of uncertainties, 19 and a decentralized finite-time control method with Lyapunov analysis. 20 Linear models necessitate using linear control and it is not considered a big limitation as long as the relative distance between satellites are small enough.…”

Section: Introductionmentioning

confidence: 99%

Spacecraft formation flying control under orbital perturbations by state-dependent Riccati equation method in the presence of on–off actuators

Rouzegar

Khosravi

Sarhadi

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

In this paper, spacecraft formation flying control under orbital perturbations by state-dependent Riccati equation method in the presence of on–off actuators is studied. Here, state-dependent Riccati equation is proposed as a more systematic and simple controller for solving the nonlinear problem of spacecraft formation flying in the leader–follower architecture. To create real conditions, the full nonlinear model of motion is considered while orbital perturbations are contained in the model. Also, to consider the operational conditions in controller design, on–off actuators are taken into account for the system. Due to the on–off nature of spacecraft thrusters, practical pulse-width pulse-frequency modulator is used for converting continuous signals to on–off pulses. Results are compared with other controllers to show the accuracy and performance of this method. In simulations, it is shown that the proposed controller as a new method has better performance confronting with the operational conditions including perturbations and on–off inputs. It is also shown that the energy consumption of the proposed controller is improved in comparison to other controllers.

show abstract