Fixed-time position coordinated tracking control for spacecraft formation flying with collision avoidance

Zhuang, Minglei; Tan, Li; Li, Kehang; Song, Shenmin

doi:10.1016/j.cja.2020.12.024

Cited by 29 publications

(7 citation statements)

References 33 publications

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“…The communication topology between spacecrafts in formation is demonstrated in Figure 3. Suppose that the leader spacecraft runs on a nominal elliptical orbit 36 with

{a}_c=6973\mathrm{km}

{e}_c=0.01

and

\theta (0)=0\mathrm{rad}

. The maximum control forces produced by all the thrusters equipped with all three follower spacecrafts are limited to be

0.5\mathrm{N}

.…”

Section: Simulation Results and Convergence Exaluationmentioning

confidence: 99%

Dynamic event‐triggered orbit coordination for spacecraft formation via a self‐learning sliding mode control approach

Jia,

Gao,

et al. 2024

Intl J Robust & Nonlinear

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SummaryThis article investigates the issue of orbit coordination control for a class of multi‐spacecraft formation systems in presence of limited communication and external disturbance. To solve the limitation of communication sources, a dynamic event trigger (DET) mechanism is developed to reduce the communication frequency between the follower spacecrafts. Subsequently, we explore a robust DET mechanism‐based distributed self‐learning sliding mode control design, in which a variable learning intensity‐based iterative learning algorithm is designed to approximate and compensate space perturbation. This approach can guarantee an event triggering sequence without Zeno phenomenon and accurate coordination control for formation configuration simultaneously. Compared with the traditional event‐triggered control and other state‐of‐the‐art approaches, the distributed DET control scheme achieves higher control accuracy of formation configuration meanwhile requires less communication resource. Finally, a series of numerical simulations demonstrate the feasibility and superiority of the event triggered control method.

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“…The communication topology between spacecrafts in formation is demonstrated in Figure 3. Suppose that the leader spacecraft runs on a nominal elliptical orbit 36 with

{a}_c=6973\mathrm{km}

{e}_c=0.01

and

\theta (0)=0\mathrm{rad}

. The maximum control forces produced by all the thrusters equipped with all three follower spacecrafts are limited to be

0.5\mathrm{N}

.…”

Section: Simulation Results and Convergence Exaluationmentioning

confidence: 99%

Dynamic event‐triggered orbit coordination for spacecraft formation via a self‐learning sliding mode control approach

Jia,

Gao,

et al. 2024

Intl J Robust & Nonlinear

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“…Remark In the proposed sliding‐mode surface (19), the partial derivative of the potential function is introduced to achieve collision avoidance during the formation flight. Compared with IO sliding mode surface with potential function, 41 FO calculus is creatively incorporated to refinedly adjust the performance by varying the value of FO operator

a

.…”

Section: Fractional‐order Ftcc Design and Stability Analysismentioning

confidence: 99%

Fractional‐order fault‐tolerant containment control of multiple fixed‐wing UAVs via disturbance observer and interval type‐2 fuzzy neural network

Zhang

et al. 2023

Intl J Robust & Nonlinear

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This article investigates the fault‐tolerant containment control (FTCC) problem for a group of fixed‐wing unmanned aerial vehicles with simultaneous considerations of faults and collision avoidance. A fractional‐order (FO) FTCC scheme is established to steer all follower UAVs into the convex hull formed by the leader UAVs with the involvements of FO calculus, disturbance observers (DOs), and interval type‐2 fuzzy neural networks (IT2FNNs). In the proposed control protocol, FO sliding‐mode surfaces with artificial potential functions are first designed to revamp the filtered containment errors. Then, the DOs with FO calculus are constructed to estimate the FO lumped disturbances due to faults and external disturbances. Moreover, to compensate for the DO estimation errors, IT2FNN learning mechanisms are introduced to improve the FTCC capability. It is shown by Lyapunov stability analysis that all follower UAVs can successfully converge into the convex hull spanned by the leader UAVs without collisions even when a portion of UAVs is encountered by faults. Simulation results are presented to show the effectiveness of the developed control scheme.

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“…[8][9][10] Therefore, the formation reconfiguration control problem has aroused widespread concern recently. [11][12][13] Thrust failure is one of the challenges that must be addressed in spacecraft formation reconfiguration because the controllers designed based on fully actuated dynamics are unsuitable for underactuated cases. 14,15 Various control schemes have been proposed for the underactuated attitude or relative orbital control problem by different approaches.…”

Section: Introductionmentioning

confidence: 99%

Feasibility analysis and saturation control for underactuated spacecraft formation reconfiguration in elliptic orbits

Shao,

Zhou,

Xiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This work proposes a saturation control scheme for underactuated spacecraft formation reconfiguration in elliptic orbits without radial or along-track thrust. Firstly, the rank criterion method is applied to analyze the controllability and feasibility of formation reconfiguration by linearizing the linear time-varying dynamics to linear time-invariant ones. Based on the inherent coupling of the linear time-varying system, the underactuated error dynamics are presented for either underactuated case. Subsequently, the developed underactuated saturation controller can ensure that the time-varying system trajectory asymptotically converges to the specified configuration. The Lyapunov-based analysis presents the constraint conditions of controller parameters and the stable reconfiguration accuracy of the system states. Finally, numerical simulations for both underactuated scenarios are performed in the environment with J2 perturbation to verify the validity of the proposed underactuated control scheme.

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Fixed-time position coordinated tracking control for spacecraft formation flying with collision avoidance

Cited by 29 publications

References 33 publications

Dynamic event‐triggered orbit coordination for spacecraft formation via a self‐learning sliding mode control approach

Dynamic event‐triggered orbit coordination for spacecraft formation via a self‐learning sliding mode control approach

Fractional‐order fault‐tolerant containment control of multiple fixed‐wing UAVs via disturbance observer and interval type‐2 fuzzy neural network

Feasibility analysis and saturation control for underactuated spacecraft formation reconfiguration in elliptic orbits

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