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ESO-based saturated deployment control of tethered satellite system with finite-time tracking performance guarantees⁎This work was supported in part of the Major Program of National Natural Science Foundation of China (Grant No. 61690211), Open Fund of National Key Laboratory of Aerospace Flight Dynamics (Grant No. 6142210200303), Open Fund of Key Laboratory of Space Intelligent Control Technology, and Natural Science Foundation of Hunan Province. Issue 2 (2020)
Record Type:
Journal Article
Title:
ESO-based saturated deployment control of tethered satellite system with finite-time tracking performance guarantees⁎This work was supported in part of the Major Program of National Natural Science Foundation of China (Grant No. 61690211), Open Fund of National Key Laboratory of Aerospace Flight Dynamics (Grant No. 6142210200303), Open Fund of Key Laboratory of Space Intelligent Control Technology, and Natural Science Foundation of Hunan Province. Issue 2 (2020)
Main Title:
ESO-based saturated deployment control of tethered satellite system with finite-time tracking performance guarantees⁎This work was supported in part of the Major Program of National Natural Science Foundation of China (Grant No. 61690211), Open Fund of National Key Laboratory of Aerospace Flight Dynamics (Grant No. 6142210200303), Open Fund of Key Laboratory of Space Intelligent Control Technology, and Natural Science Foundation of Hunan Province.
Abstract: This paper investigates a novel finite-time saturated deployment control approach for the tethered satellite system in the presence of uncertain dynamics and space perturbations, as well as state constraints. First, an integral Lyapunov function is constructed to remove the hard state constraints characterized by a finite-time convergent performance function. Then, a backstepping finite-time deployment controller is devised via using an extended state observer (ESO) to approach the unknown dynamics, perturbations and saturation deviation. Compared with the existing finite-time control methods, the prominent advantage of the proposed one is that the finite-time saturated deployment control is achieved without violating the state constraints and using fractional state feedback. Finally, an illustrative example is organized to validate the effectiveness of the proposed approach.