Contracting Angular Velocity Observer For Small Satellites

Chávez-Moreno, Rafael; Tang, Yu; Hernandez, J.C.; Ji, Haibo

doi:10.1109/taes.2018.2829360

Cited by 9 publications

(8 citation statements)

References 26 publications

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“…Due to the unavailable or inaccurate angular velocity in the economical UAV system, which is utilized in most feedback control schemes, an observer should be introduced. Different from traditional angular velocity observer [21,22], work in Chavez-Moreno et al [23] develops an angular velocity observer based on contraction analysis tools [24] for the small satellite. The construction thought in this work can also be applied to design angular velocity observer of UAV system.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

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Vision‐based tracking control of quadrotor for a moving target with nonlinear angular velocity observer

Zhang

2022

Asian Journal of Control

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In this article, an automatic tracking process for unmanned aerial vehicle (UAV) system to follow the target with maneuverability is developed, and a vision‐based control method is proposed. At first, the image‐based visual servoing (IBVS) position control technology is applied without any prior target information for the algorithm practicability. Besides, consider the situation with unavailable angular velocity measurement, a thorough nonlinear attitude controller with an observer based on contraction is proposed. Finally, the whole UAV system stability is demonstrated to be uniformly ultimately bounded, and the bound can be arbitrarily small. Simulation and experiment results are presented to show effectiveness of the designed controller.

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Section: Motivation and Backgroundmentioning

confidence: 99%

“…Then, substituting Equations ( 19), ( 20), (23), and ( 24) into (28), the time derivation of ( 28) is…”

Section: Ibvs Positional Motion Controller Design and Stability Analysismentioning

confidence: 99%

Vision‐based tracking control of quadrotor for a moving target with nonlinear angular velocity observer

Zhang

2022

Asian Journal of Control

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“…Therefore, generating the optimal reference profile for maneuvering between the target pointing of the observation satellite is essential for maximizing the performance of the satellite mission and driving the antenna for transmitting the data. However, it is difficult to find a generalized solution owing to satellite limiting conditions, nonlinearity, and various startup and end conditions [ 4 , 7 , 8 , 10 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…The duration of attitude maneuvers between two target points varies according to the maneuvering constraints and attitude generation method. It is difficult to determine this duration because of the differences in boundary conditions between the attitudes and angular velocities at the end of the previous target pointing and the beginning of the next pointing [ 19 , 20 , 21 ]. Therefore, because of the different initial and final maneuvering conditions, the available torque and angular rate of the satellite are limited, and it is difficult to obtain a generalized solution [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Generating Low-Earth Orbit Satellite Attitude Maneuver Profiles Using Deep Neural Networks

Yun

2023

Sensors

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To perform Earth observations, low-Earth orbit (LEO) satellites require attitude maneuvers, which can be classified into two types: maintenance of a target-pointing attitude and maneuvering between target-pointing attitudes. The former depends on the observation target, while the latter has nonlinear characteristics and must consider various conditions. Therefore, generating an optimal reference attitude profile is difficult. Mission performance and satellite antenna position-to-ground communication are also determined by the maneuver profile between the target-pointing attitudes. Generating a reference maneuver profile with small errors before target pointing can enhance the quality of the observation images and increase the maximum possible number of missions and accuracy of ground contact. Therefore, herein we proposed a technique for optimizing the maneuver profile between target-pointing attitudes based on data-based learning. We used a deep neural network based on bidirectional long short-term memory to model the quaternion profiles of LEO satellites. This model was used to predict the maneuvers between target-pointing attitudes. After predicting the attitude profile, it was differentiated to obtain the time and angular acceleration profiles. The optimal maneuver reference profile was obtained by Bayesian-based optimization. To verify the performance of the proposed technique, the results of maneuvers in the 2–68° range were analyzed.

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“…Futhermore, the concepts of partial contraction, virtual system and modular properties [37] provide great convenience for the design and analysis of control system. After more than 20 years of development, contraction theory has blossomed and fruited in numerous disciplines [38][39][40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Adaptive trajectory tracking control and parameter identification for autonomous underwater vehicles based on contraction theory

Ma¹,

Tang

Yan³

et al. 2022

Preprint

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In this paper, contraction theory is applied to design the trajectory tracking controller for a fully-actuated 6-degree-of-freedom (6-DOF) autonomous underwater vehicle (AUV). First, assuming that all system parameters are known, an ideal controller is given. Then, to deal with the parameter uncertainties, an adaptive controller is proposed. Combined with the adaptive law, the estimated values of the parameters converge to their real values without requiring the persistent excitation (PE) condition to be satisfied, that is, the parameter identification is realized. Exponential convergence of the system is analyzed in the framework of contraction theory. The concepts of partial contraction, virtual system and modular properties reduce the difficulty of system design and analysis. The numerical simulation results show the effectiveness of the proposed method.

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Contracting Angular Velocity Observer For Small Satellites

Cited by 9 publications

References 26 publications

Vision‐based tracking control of quadrotor for a moving target with nonlinear angular velocity observer

Vision‐based tracking control of quadrotor for a moving target with nonlinear angular velocity observer

Generating Low-Earth Orbit Satellite Attitude Maneuver Profiles Using Deep Neural Networks

Adaptive trajectory tracking control and parameter identification for autonomous underwater vehicles based on contraction theory

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