2018
DOI: 10.1002/asjc.1878
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Two‐Layer Terminal Sliding Mode Attitude Control of Satellites Equipped with Reaction Wheels

Abstract: This paper addresses the global stability and robust attitude tracking problem of a near polar orbit satellite subject to unknown disturbances and uncertainties. It is assumed that the satellite is fully actuated by a set of reaction wheels (RW) as control actuators because of their relative simplicity, versatility and high accuracy. The terminal sliding mode control (TSMC) approach is utilized in a two-level architecture to achieve control objectives. In the lower layer a detumbling-like controller is designe… Show more

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Cited by 20 publications
(11 citation statements)
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“…SMC approach is an advanced high-performance design technique which has found widespread applications, such as robotics [18], [28], [35], energy and power systems [25], [36], aero-space [27], [37], and automotive control [10], [15], because of its proven capability of coping with the real-world uncertainties and disturbances. Here the aim is to propose a TSMC law by introducing an appropriate sliding surface to achieve the desired longitudinal force F xdes , and yaw momentum M zdes guaranteeing the finite-time convergence and tracking purpose of the reference model in the existence of external disturbances and parameter uncertainties.…”
Section: B Upper-layer Control Designmentioning
confidence: 99%
“…SMC approach is an advanced high-performance design technique which has found widespread applications, such as robotics [18], [28], [35], energy and power systems [25], [36], aero-space [27], [37], and automotive control [10], [15], because of its proven capability of coping with the real-world uncertainties and disturbances. Here the aim is to propose a TSMC law by introducing an appropriate sliding surface to achieve the desired longitudinal force F xdes , and yaw momentum M zdes guaranteeing the finite-time convergence and tracking purpose of the reference model in the existence of external disturbances and parameter uncertainties.…”
Section: B Upper-layer Control Designmentioning
confidence: 99%
“…Among them, the sliding mode control (SMC) as an effective robust control method has received many applications because of its exceptional robustness against uncertainties and disturbances, guaranteed stability properties, computational and implementation easiness, fast response and excellent transient performance with respect to other control schemes [10,11]. The sliding mode control method has been prosperously applied to a broad diversity of practical linear and nonlinear systems such as nonholonomic systems [12,13], robot manipulators [14], aircraft [15], spacecraft [16,17], underwater vehicles [18], chaotic systems [19], electrical motors [20], and power systems [21,22]. The algorithm of SMC comprises two different phases, i.e., reaching and sliding phases [23].…”
Section: Introductionmentioning
confidence: 99%
“…Among various finite‐time control schemes (e. g. homogeneous method [21], H ∞ fuzzy control [22], adding power integrators [23]), sliding mode control (SMC) is the most widely used due to its strong robustness against external disturbances and internal uncertainties. Related SMC techniques include but are not limited to terminal sliding mode (TSM) [24,25], non‐singular TSM (NTSM) [26,27], full‐order recursive sliding mode [28], and super‐twisting sliding mode [29] some of which have been applied to achieve finite‐time ATC for spacecraft systems [30‐47]. In [35] an adaptive sliding mode controller was designed for the attitude‐tracking maneuver of a rigid satellite.…”
Section: Introductionmentioning
confidence: 99%
“…In [35] an adaptive sliding mode controller was designed for the attitude‐tracking maneuver of a rigid satellite. In [30] a two‐layer TSM manifold was constructed for the near polar orbit satellite subject to unknown disturbances and inertial uncertainties. With a priori knowledge of upper bounds of uncertainties, a time‐varying TSM control algorithm was derived in [46].…”
Section: Introductionmentioning
confidence: 99%