2020
DOI: 10.1109/access.2020.3007530
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Neural-Network Based Finite-Time Coordinated Formation Control for Spacecraft Without Unwinding

Abstract: This paper investigates the problem of rotation matrix-based attitude synchronization and tracking control for spacecraft formation flying exposed to external disturbance and unknown inertial matrix. For the purpose of ensuring finite-time convergence for attitude tracking errors, a hyperbolic tangent function-based sliding mode surface is designed. Based on the sliding mode variable, an adaptive law is proposed to estimate the upper bound of unknown disturbance and radial basis function is employed to approxi… Show more

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Cited by 4 publications
(4 citation statements)
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“…Remark 3: In contrast to the existing finite-time attitude consensus (or synchronization) control of rigid spacecraft [13]- [17], the proposed controller ensures that the upper bound of the settling time can be explicitly defined by user instead of complicated estimation, and has strong robust to the model uncertainties for each spacecraft in formation.…”
Section: Stability Analysismentioning
confidence: 99%
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“…Remark 3: In contrast to the existing finite-time attitude consensus (or synchronization) control of rigid spacecraft [13]- [17], the proposed controller ensures that the upper bound of the settling time can be explicitly defined by user instead of complicated estimation, and has strong robust to the model uncertainties for each spacecraft in formation.…”
Section: Stability Analysismentioning
confidence: 99%
“…It is well-known that finite-time stable control is more desirable due to the fast transient, high-precision performance and better disturbance rejection property [12]. Typical existing finite-time distributed control methods for multiple spacecraft can be founded in [13]- [17]. In [13], for multiple stationary leaders, the authors propose a modelindependent control law to guarantee that the attitudes of the followers converge to the stationary convex hull formed by those of the leaders in finite time.…”
Section: Introductionmentioning
confidence: 99%
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