Robust Science-Optimal Spacecraft Control for Circular Orbit Missions

Nasir, Ali; Atkins, Ella M.; Kolmanovsky, Ilya

doi:10.1109/tsmc.2017.2767077

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…Further study can be done to explore ways of reducing effective computational complexity involved in the problem without incorporating prohibitive error. In this regard, the techniques in Approximate Dynamic Programming (ADP) [16,30] may prove to be helpful. Specifically, [30] introduces a decomposition based Approximate Dynamic Programming approach that has been applied to a spacecrfat control problem but can be adapted for epidemics control problem discussed in this paper.…”

Section: Discussion On Scalabilitymentioning

confidence: 99%

“…In this regard, the techniques in Approximate Dynamic Programming (ADP) [16,30] may prove to be helpful. Specifically, [30] introduces a decomposition based Approximate Dynamic Programming approach that has been applied to a spacecrfat control problem but can be adapted for epidemics control problem discussed in this paper. The key is to decompose the population into appropriate subgroups.…”

Section: Discussion On Scalabilitymentioning

confidence: 99%

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Epidemics control model with consideration of seven-segment population model

2020

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This paper discusses a novel method for modeling the spread of an epidemic that facilitates the calculation of the optimal control policy. The proposed model considers seven compartments in the population as opposed to popular approaches based on three or four compartments. The usual compartments, i.e., susceptible, exposed, infected, and recovered individuals have been included in the seven compartment model with the addition of compartments pertaining to individuals under treatment, vaccinated individuals, and individuals in quarantine. The addition of new compartments allows for the incorporation of multiple control options such as treatment, quarantine, and vaccination. The mathematical expressions involved in the model have been described followed by a discussion on the calculation of optimal control policy. Finally, a simulation-based example has been included for demonstrating the effectiveness of the control policy resulting from the proposed model.

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Section: Discussion On Scalabilitymentioning

confidence: 99%

Section: Discussion On Scalabilitymentioning

confidence: 99%

Epidemics control model with consideration of seven-segment population model

2020

Self Cite

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“…The technology of autonomous rendezvous and docking has aroused considerable attention due to its wide application. [1][2][3] The whole phases include the homing phase, closing phase, translation phase, and proximity operation. The last two phases are quite crucial because two spacecrafts could suffer from collision 4 during the docking procedure.…”

Section: Introductionmentioning

confidence: 99%

Adaptive saturated tracking control for spacecraft proximity operations via integral terminal sliding mode technique

Liu

Wang

et al. 2021

Intl J Robust & Nonlinear

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This study presents a tracking control strategy for spacecraft proximity operations subjected to kinematic couplings, input saturation, modeling uncertainties, and external disturbances. First, a coupled six degrees of freedom dynamics is modeled to depict the relative motion between the pursuer and target spacecrafts. To address the input saturation problem, a dead-zone operator-based model is introduced. Subsequently, a finite-time controller is proposed by exploiting the non-singular integral terminal sliding mode method. By employing the adaptive technique, the proposed control strategy enjoys the feature that it can avoid requiring the prior knowledge of the lumped uncertainty's bounds. Using the Lyapunov theory, the designed controller is proved to guarantee that the translational and rotational tracking errors can converge to the origin within finite time. Finally, numerical simulations are performed to illustrate that the developed control scheme possesses a strong robustness, a fast convergence rate, input saturation elimination as well as chattering suppression. K E Y W O R D Sadaptive finite-time control, input saturation, non-singular integral terminal sliding mode control, spacecraft proximity operations INTRODUCTIONThe technology of autonomous rendezvous and docking has aroused considerable attention due to its wide application. [1][2][3] The whole phases include the homing phase, closing phase, translation phase, and proximity operation. The last two phases are quite crucial because two spacecrafts could suffer from collision 4 during the docking procedure. The proximity phase is to force the pursuer along a predetermined orbit toward the docking port. Generally, the key difficulty of the proximity phase is to develop special strategies for synchronously controlling the relative position and attitude between two spacecrafts. This work investigates a robust controller for spacecraft proximity operations (SPO) to gain the prerequisite for the propitious rendezvous and docking. Still, the dynamic modeling and controller design for the SPO problem is very important. First, linearized Clohessy-Wiltshire equations 5 were used to describe the relative translation for circular reference orbits. Afterwards, a multitude of variants 6,7 on the nonlinear models was reported for the arbitrary orbital eccentricity.

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“…During the past decades, spacecraft attitude control has become a major research topic in the aerospace domain, because it can be used to perform various advanced tasks in the aerospace domain including deep space exploration [1], space on-orbit services [2,3], and spacecraft proximity operations [4,5]. The main research issues associated with the spacecraft attitude control system design include highly nonlinear characteristics owing to the presence of rigid-flexible coupled structures [6], parameter uncertainties [7], external disturbances and actuator faults [8][9][10][11], input nonlinearity [12,13], and formation control [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy backstepping control for attitude stabilization of flexible spacecraft with signal quantization and actuator faults

Liu

Duan

2021

Sci. China Inf. Sci.

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In this study, the fault-tolerant attitude control of flexible spacecraft is investigated over digital communication channels, where a uniform quantizer is considered with respect to the sensor signals and controller indexes. Further, an adaptive fuzzy backstepping control strategy has been developed for the considered attitude stabilization issue, where the adaptive fuzzy logic method is used to approximate the rigid-flexible coupled nonlinearity of the spacecraft. In this design, the online adjusting quantizer parameters are injected into the controller gains to simultaneously compensate for the quantization errors and timevarying actuator faults. In the proposed control method, the attitude stabilization task is achieved in the presence of external disturbances, time-varying actuator faults, and signal quantization. Finally, the practical examples are compared to demonstrate the effectiveness of the proposed control strategy.

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Robust Science-Optimal Spacecraft Control for Circular Orbit Missions

Cited by 14 publications

References 20 publications

Epidemics control model with consideration of seven-segment population model

Epidemics control model with consideration of seven-segment population model

Adaptive saturated tracking control for spacecraft proximity operations via integral terminal sliding mode technique

Adaptive fuzzy backstepping control for attitude stabilization of flexible spacecraft with signal quantization and actuator faults

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