Spacecraft formation reconfiguration with collision avoidance

Schlanbusch, Rune; Kristiansen, Raymond; Nicklasson, Per Johan

doi:10.1016/j.automatica.2011.02.014

Cited by 84 publications

(52 citation statements)

References 9 publications

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“…iii. Compared with the previous work [3], the developed methodology can provide higher control precision, faster convergence, better adaptability and stronger robustness, and the validity has been confirmed by theoretical proof and numerical simulation.…”

Section: Introductionmentioning

confidence: 69%

“…s converges to ϕ in finite time, where 3 ] T , ϕ k,j > 0 is the boundary-layer thickness for k = 1, . .…”

Section: Modified Control Law Designmentioning

confidence: 99%

“…Six spacecraft are considered to relocate and shape a new formation while avoiding collisions [3], where a Fig. 6 Position of spacecraft 1 with asymptotic convergence leader is included therein.…”

Section: Illustrative Examplesmentioning

confidence: 99%

“…During the past decade, many studies have been published on spacecraft obstacle or collision avoidance. Using the null-space-based (NSB) concept, Schlanbusch et al [3] investigated the spacecraft formation and collision avoidance problem, and a cooperative control method was developed. Wang and Schaub [4] considered a two-spacecraft collision avoidance problem and proposed a control algorithm where the cluster internal coulomb forces is employed.…”

Section: Introductionmentioning

confidence: 99%

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Coordination control design for formation reconfiguration of multiple spacecraft

Zhou

Xia

2015

IET Control Theory & Applications

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This study investigates the high precision control design of formation reconfiguration for a group of spacecraft with obstacle/collision avoidance and unknown disturbances. First, by utilising the null-space-based method, a set of predesigned velocities are calculated for each spacecraft to perform the tasks with the obstacle/collision avoidance task has a higher priority. Second, a task-based adaptive non-singular fast terminal sliding mode coordination control algorithm (TANCCA) is proposed, which can guarantee all the spacecraft to implement the formation reconfiguration while avoiding obstacles/collisions under an unknown disturbed environment. To solve the chattering problem caused by the discontinuity of TANCCA, a modified TANCCA (MTANCCA) is then developed, which is continuous and chattering-free. Finally, the authors use the solution to the formation reconfiguration control problem for six spacecrafts in a circular Low Earth Orbit at 600 km altitude. The results of the simulation show that the MTANCCA is successful in achieving the obstacle/collision avoidance, disturbance rejection, fast convergence, and high control precision without any collisions or rules broken. IntroductionSpacecraft formation flying (SFF) means a group of spacecraft flying together with coupled dynamic states, and research in this area has become an increasingly popular subject in recent years. Formation with a definite configuration could deem to work as a virtual monolithic spacecraft, it will greatly enhance system performance by distributing the task from a monolithic spacecraft to several small spacecraft, especially for some capabilities which are unachievable for a single monolithic spacecraft [1]. Replacing large and complex spacecraft with an array of simpler micro-satellites can bring out new possibilities and opportunities of cost reduction, redundancy, and improve resolution aspects of onboard payload, thus SFF is a new method of performing space operations. In spaceflight, obstacle/collision avoidance is the process of preventing a spacecraft from colliding with any other spacecraft, object or space junk. In a tightly flying cluster of spacecraft, obstacle/collision avoidance is an essential concern while fulfilling specific and varied missions. Furthermore, the disturbance forces working on a spacecraft in orbit are mainly caused by gravitational perturbations, atmospheric drag, solar radiation, solar wind, and third-body perturbing forces [2]. Although the disturbances are small, they should not be ignored because over time large deviations will occur without any treatment. From the aforementioned, research on the problem of SFF with obstacle/collision avoidance and disturbances has important practical significance and application potential. During the past decade, many studies have been published on spacecraft obstacle or collision avoidance. Using the null-space-based (NSB) concept, Schlanbusch et al.[3] investigated the spacecraft formation and collision avoidance problem, and a cooperative control method was deve...

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Section: Introductionmentioning

confidence: 69%

“…s converges to ϕ in finite time, where 3 ] T , ϕ k,j > 0 is the boundary-layer thickness for k = 1, . .…”

Section: Modified Control Law Designmentioning

confidence: 99%

Section: Illustrative Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Coordination control design for formation reconfiguration of multiple spacecraft

Zhou

Xia

2015

IET Control Theory & Applications

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“…Coordination problems for such systems have attracted considerable interest (e.g., see [1]- [4] and references therein). Formation is one of the most commonly-considered coordination problems due to its wide application in many fields, such as spacecrafts [5], wheeled vehicles [6], and unmanned aerial vehicles [7]. In addition to results aimed at enabling the agents to accomplish formation tasks asymptotically along the time axis, there have been developed a class of algorithms recently such that a desired relative formation between agents can be achieved with arbitrary high precision over a finite time interval through repetitive learning (see, e.g., [8]- [13]).…”

Section: Introductionmentioning

confidence: 99%

Formation control of multi-agent systems with switching topologies: An ILC-based distributed algorithm design

Meng

Moore

2015

2015 American Control Conference (ACC)

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This paper deals with iterative formation control problems for multi-agent systems with switching topologies. Our approach combines consensus protocol algorithms conducted with an iterative learning control update. This leads to networks dynamically changing with evolution along two directions: a finite time axis and an infinite iteration axis. A distributed algorithm is constructed based on nearest neighbor information, and its convergence is established via a Roesser system-based two-dimensional approach. It is shown that a desired relative formation between agents can be achieved along a finite time trajectory if and only if the union of the interaction graphs between the agents over iteration intervals of finite length has a spanning tree for every time step. Simulations are included to illustrate the effectiveness of the derived results.

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Adaptive control and signal processing literature survey (No. 26)

2011

Int. J. Adapt. Control Signal Process.

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In order to keep readers up-to-date, the journal will contain a list of recently published journal articles relevant to the fields of adaptive control and signal processing six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict, and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please

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Spacecraft formation reconfiguration with collision avoidance

Cited by 84 publications

References 9 publications

Coordination control design for formation reconfiguration of multiple spacecraft

Coordination control design for formation reconfiguration of multiple spacecraft

Formation control of multi-agent systems with switching topologies: An ILC-based distributed algorithm design

Adaptive control and signal processing literature survey (No. 26)

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