Observation satellite attitude estimation using sensor measurement and image registration fusion

Zhang, Zhaoxiang; Xu, Guodong; Song, Jianing

doi:10.1177/0954410017691315

Cited by 11 publications

(3 citation statements)

References 23 publications

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“…where diagð�Þ represents diagonal matrix. 33,46,47 The covariance matrix of process noise is Figure 5 shows the time responses of system states. Affected by the flexible vibration, although the response speed of SMC without MHE is faster than that of MHE-SMC and MHE-HSMC, it forces FHV into a stable limit cycle with the same frequency shown in Figure 3(c), which verifies the effectiveness of the aeroservoelastic effect analysis.…”

Section: Simulation Analysismentioning

confidence: 99%

Moving-horizon-estimator-integrated adaptive hierarchical sliding mode control for flexible hypersonic vehicles considering aeroservoelastic effect

Chen¹,

Jing

Gao

2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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In order to solve the attitude control problem of flexible hypersonic vehicles with consideration of aeroservoelastic effect, uncertainty and external disturbance, a novel moving-horizon-estimator-integrated adaptive hierarchical sliding mode control scheme is presented in this paper. First, the measurement model considering flexibility is established and the influence of aeroservoelastic effect on system stability is analyzed. Then moving horizon estimator is developed to reconstruct full state information from sensor measurements, while sliding mode disturbance observer and gain adaptation law is proposed to enhance the robustness and attenuate the chattering. Via combining moving horizon estimator, sliding mode disturbance observer, gain adaptation law and baseline hierarchical sliding mode controller, the moving-horizon-estimator-integrated adaptive hierarchical sliding mode control scheme that is able to achieve the control objective of both precise attitude control and active flexible vibration suppression is developed. Finally, Lyapunov theory is used to prove the stability of the proposed control scheme, and the numerical simulations are carried out, which further verify the effectiveness of the proposed control scheme against aeroservoelastic effect, uncertainty and external disturbance.

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Section: Simulation Analysismentioning

confidence: 99%

Moving-horizon-estimator-integrated adaptive hierarchical sliding mode control for flexible hypersonic vehicles considering aeroservoelastic effect

Chen¹,

Jing

Gao

2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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show abstract

“…Methods that depend on accurate GCPs or high-performance attitude sensors are economically and technically infeasible for many on-orbit satellites [ 6 ]. The third method is to take advantage of the fact that pushbroom sensors use the parallax formed by neighboring multispectral sensors [ 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. The method requires image pairs collected at the same location in different times and has high requirements for the accuracy of feature extraction and image matching.…”

Section: Introductionmentioning

confidence: 99%

Jitter Detection and Image Restoration Based on Generative Adversarial Networks in Satellite Images

Wang

Zhang

Dong

et al. 2021

Sensors

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High-resolution satellite images (HRSIs) obtained from onboard satellite linear array cameras suffer from geometric disturbance in the presence of attitude jitter. Therefore, detection and compensation of satellite attitude jitter are crucial to reduce the geopositioning error and to improve the geometric accuracy of HRSIs. In this work, a generative adversarial network (GAN) architecture is proposed to automatically learn and correct the deformed scene features from a single remote sensing image. In the proposed GAN, a convolutional neural network (CNN) is designed to discriminate the inputs, and another CNN is used to generate so-called fake inputs. To explore the usefulness and effectiveness of a GAN for jitter detection, the proposed GANs are trained on part of the PatternNet dataset and tested on three popular remote sensing datasets, along with a deformed Yaogan-26 satellite image. Several experiments show that the proposed model provides competitive results. The proposed GAN reveals the enormous potential of GAN-based methods for the analysis of attitude jitter from remote sensing images.

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“…11,12 Consequently, states and parameters require to be jointly estimated considering flexibility 13 in real time. 14 As a model-based recursive filter for nonlinear systems, 15 the extended Kalman filter (EKF), which is widely used for state estimation, 16 fault diagnosis, 17 and integrated navigation, 18 extends the wellestablished Kalman filter to the realm of nonlinear systems by a first-order linearization method. Although EKF has been the benchmark in the field of nonlinear state estimation, 19 it is difficult for EKF to handle state and parameter constraints, which is just the advantage of moving horizon estimation (MHE).…”

Section: Introductionmentioning

confidence: 99%

Sensor placement and moving horizon state/parameter estimation for flexible hypersonic vehicles

Chen

Jing

Gao

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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Considering the nonlinearity, uncertainty, and rigid/elastic coupling, a state/parameter joint estimation method is essential for control system design or fault diagnosis of flexible hypersonic vehicles. With the goal of improving state/parameter estimation accuracy, this paper proposes a sensor placement strategy and a moving horizon estimation algorithm with a QR-decomposition-based arrival cost update strategy (MHE-QR). To enhance observability, a novel double sensor placement strategy, in which the sensor positions are obtained via solving a constrained nonlinear optimization problem, is developed. The MHE-QR algorithm transforms the arrival cost update problem into a least square problem and solves it utilizing QR decomposition. With this QR-decomposition-based arrival update strategy, the state/parameter estimation problem is solved as a nonlinear programming problem in the framework of moving horizon estimation. Finally, the performance of sensor placement strategy and MHE-QR is evaluated by Monte Carlo simulations in 10 different scenarios. Simulation results demonstrate that the sensor placement strategy and MHE-QR algorithm can effectively improve the estimation accuracy, convergence speed and computation rate. Additionally, the CPU time of MHE-QR validates its real-time applicability.

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Observation satellite attitude estimation using sensor measurement and image registration fusion

Cited by 11 publications

References 23 publications

Moving-horizon-estimator-integrated adaptive hierarchical sliding mode control for flexible hypersonic vehicles considering aeroservoelastic effect

Moving-horizon-estimator-integrated adaptive hierarchical sliding mode control for flexible hypersonic vehicles considering aeroservoelastic effect

Jitter Detection and Image Restoration Based on Generative Adversarial Networks in Satellite Images

Sensor placement and moving horizon state/parameter estimation for flexible hypersonic vehicles

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