Artificial Potential Function Safety and Obstacle Avoidance Guidance for Autonomous Rendezvous and Docking with Noncooperative Target

Liu, Jianghui; Li, Haiyang

doi:10.1155/2019/3451864

Cited by 10 publications

(8 citation statements)

References 37 publications

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“…In [40], the surveillance fly-around of noncooperative targets was realized based on the LOS coordinate system. In [41], the problem of obstacle avoidance guidance for autonomous rendezvous and docking with noncooperative spacecraft was studied based on the LOS coordinate system.…”

Section: B Relative Motion Control Based On the Los Coordinate Systemmentioning

confidence: 99%

Fly-Around Control of Space Tumbling Target Under Multiple Constraints

et al. 2022

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Aiming at the practical problems of external unknown disturbance and internal modeling uncertainty, when space tumbling target flies around in close range, a sliding mode controller (SMC) based on active disturbance rejection control (ADRC) technology is proposed to realize real-time estimation and compensation of ''total disturbance.'' Firstly, according to the motion characteristics of space tumbling target, the relative motion equation in rotating line of sight (RLOS) coordinate system is established; Secondly, the compound controller is designed, and the convergence of the nonlinear state expansion observer and the stability of the closed-loop system are analyzed based on the root locus method and Lyapunov function method respectively; Finally, the simulation results show that the SMC based on ADRC technology can effectively suppress the disturbance and overcome the chattering problem of traditional sliding mode controller. It has a good control quality, and strong robustness is an easy method for engineering practice.

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Section: B Relative Motion Control Based On the Los Coordinate Systemmentioning

confidence: 99%

Fly-Around Control of Space Tumbling Target Under Multiple Constraints

et al. 2022

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“…(Zhang et al, 2015a) considered passive safety constraints together with field of view and impulse constraints. Aside from optimization-based methods, artificial potential functions (Dong et al, 2017;Liu and Li, 2019) and sampling-based methods (Starek et al, 2017) have also been applied to achieve safety in RPO.…”

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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“…It is worth noting that the GMMbased repulsive potential function is suitable for arbitrarily complex shape. The attractive function att φ is designed in the classic form [19] ( ) ( )…”

Section: Gmm-based Fixed-time Controller Designmentioning

confidence: 99%

“…To address this issue, some scholars use the geometric envelope method to describe the basic shape of the spacecraft, such as ellipsoid envelope [16] and super quadratic envelope [17], which ignored the details of the spacecraft shape. Besides, some modified APF methods were proposed to give more precise constraints of trajectory of proximity, such as sigmoid function-based APF [18], Cissoid-based APF [19,20], and harmonic functions based APF [21]. This paper proposed Gaussian Mixture model (GMM)-based APF, which combines the characteristics of the two methods.…”

Section: Introductionmentioning

confidence: 99%

Safe Proximity Operation to Rotating Non-Cooperative Spacecraft with Complex Shape Using Gaussian Mixture Model-Based Fixed-Time Control

et al. 2020

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This paper studies the safety control problem for rotating spacecraft proximity maneuver in presence of complex shaped obstacles. First, considering the attitude change of the target spacecraft, a dynamic model of close-range relative motion in a body-fixed coordinate system is derived using a novel approach. Then, the Gaussian mixture model (GMM) is utilized to reconstruct the complex shape of the spacecraft, and a novel GMM-based artificial potential function (APF) is proposed to represent the collision avoidance requirement. By combining GMM-based APF with fixed-time stability methodology, a fixed-time control (FTC) is designed for close-range proximity operation to a rotating spacecraft having a complex shape. The presented GMM-FTC scheme can guarantee the convergence of relative state errors, and ensure that no collision occurs. Finally, simulation results are provided to illustrate the feasibility of the proposed control approach.

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Artificial Potential Function Safety and Obstacle Avoidance Guidance for Autonomous Rendezvous and Docking with Noncooperative Target

Cited by 10 publications

References 37 publications

Fly-Around Control of Space Tumbling Target Under Multiple Constraints

Fly-Around Control of Space Tumbling Target Under Multiple Constraints

Advances in Trajectory Optimization for Space Vehicle Control

Safe Proximity Operation to Rotating Non-Cooperative Spacecraft with Complex Shape Using Gaussian Mixture Model-Based Fixed-Time Control

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