A flatness-based predictive controller for six-degrees of freedom spacecraft rendezvous

Sanchez, Julio C.; Gavilan, Francisco; Vázquez, Rafael; Louembet, Christophe

doi:10.1016/j.actaastro.2019.11.026

Cited by 22 publications

(3 citation statements)

References 35 publications

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“…For example, (Ventura et al, 2017) used SNOPT (Gill et al, 2005) after parameterizing the desired trajectory using polynomials. A B-spline parameterization was used in (Sanchez et al, 2020), and the resulting nonlinear optimization was solved by the IPOPT software (Wächter and Biegler, 2005). MATLAB-based packages were also used in (Malladi et al, 2019;Volpe and Circi, 2019).…”

Section: Rendezvous and Proximity Operationsmentioning

confidence: 99%

Advances in Trajectory Optimization for Space Vehicle Control

Malyuta¹,

Yu²,

Elango³

et al. 2021

Preprint

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Space mission design places a premium on cost and operational efficiency. The search for new science and life beyond Earth calls for spacecraft that can deliver scientific payloads to geologically rich yet hazardous landing sites. At the same time, the last four decades of optimization research have put a suite of powerful optimization tools at the fingertips of the controls engineer. As we enter the new decade, optimization theory, algorithms, and software tooling have reached a critical mass to start seeing serious application in space vehicle guidance and control systems. This survey paper provides a detailed overview of recent advances, successes, and promising directions for optimization-based space vehicle control. The considered applications include planetary landing, rendezvous and proximity operations, small body landing, constrained attitude reorientation, endo-atmospheric flight including ascent and reentry, and orbit transfer and injection. The primary focus is on the last ten years of progress, which have seen a veritable rise in the number of applications using three core technologies: lossless convexification, sequential convex programming, and model predictive control. The reader will come away with a well-rounded understanding of the state-of-the-art in each space vehicle control application, and will be well positioned to tackle important current open problems using convex optimization as a core technology.

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Section: Rendezvous and Proximity Operationsmentioning

confidence: 99%

Advances in Trajectory Optimization for Space Vehicle Control

Malyuta¹,

Yu²,

Elango³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, Louembet et al 23 used B -splines to describe attitude motion profiles during maneuver planning to reduce torque demands. B -splines have also been used in combination with adaptive algorithms for rendezvous with passive targets, 24 and for motion planning with pointing constraints. 25 B -splines, defined both in continuous-time and in discrete-time, are generated by recursive convolution of a square pulse with itself.…”

Section: Introductionmentioning

confidence: 99%

Efficient on board storage and retrieval of fast maneuver profiles for space applications

Karpenko

Cristi

Levitas

2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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Attitude guidance is a concept for implementing performance enhancing rotational maneuvers that uses a conventional closed-loop attitude control system to track an optimized maneuver trajectory. Minimum-time attitude guidance is presently being used for executing fast occultation avoidance maneuvers on NASA’s Lunar Reconnaissance Orbiter (LRO). A challenge in operationalizing the idea is related to the limited size of the spacecraft’s command buffer, which was not designed with maneuver tracking in mind. In this paper, we propose an interpolating pre-filter built on B-splines that can be used on board to process downsampled maneuver commands (to save buffer space) and provide attitude control inputs at the servo-rate. The approach is validated using a high-fidelity simulation of the LRO developed at NASA’s Goddard Space Flight Center.

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“…A nonlinear model predictive control strategy was developed in [6] for spacecraft proximity missions, where relative velocity constraints were deemed to ensure safety and stability. Then, the tube-based and flatnessbased model predictive controllers were respectively developed in [7] and [8] for spacecraft rendezvous and proximity operations. A robust H ∞ adaptive feedback controller was developed to achieve asymptotic pose tracking of chaser in [9].…”

Section: Introductionmentioning

confidence: 99%

Adaptive control of space proximity missions with constrained relative states, faults and saturation

Sun

Jiang

2020

Acta Astronautica

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This paper studies a relative position and relative orientation control problem of close-range spacecraft proximity missions under control input saturation, actuator faults, relative state constraints, kinematic couplings, parametric uncertainties, and unknown external disturbances. The problem of control input saturation is handled with introducing the outputs of an augmented system into the controller, and relative state constraints are guaranteed by using barrier Lyapunov function in backstepping design. Actuator faults in dynamical model are compensated by element-wise adaptive estimations, while unknown dynamic couplings, parametric uncertainties, and unknown bounded disturbances are compensated by norm-wise adaptive estimations. Based on the developed adaptive nonlinear control strategy, relative motion states uniformly ultimately tend to small adjustable neighborhoods of zero, and if the initial relative states are constrained in the predefined ranges, then relative state constraints will never be violated. Simulation comparison validates the advantages of the control strategy.

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A flatness-based predictive controller for six-degrees of freedom spacecraft rendezvous

Cited by 22 publications

References 35 publications

Advances in Trajectory Optimization for Space Vehicle Control

Advances in Trajectory Optimization for Space Vehicle Control

Efficient on board storage and retrieval of fast maneuver profiles for space applications

Adaptive control of space proximity missions with constrained relative states, faults and saturation

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