Fuzzy Sliding Mode Control of Nonparallel-ground-track Imaging Satellite with High Precision

Ye, Dong; Zhang, Hongzhu; Tian, Yuqi; Zhao, Yue; Sun, Zhiyong

doi:10.1007/s12555-018-0369-2

Cited by 14 publications

(6 citation statements)

References 21 publications

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“…x i.e., the 2nd derivative of x, the singularity term x r−1 would be brought into the controller. In order to deal with the singularity issue some typical finitetime controllers are designed [4,11,13]. However, system robustness issue is not taken into consideration and the reverse property does not hold in these works.…”

Section: Problem Formulationmentioning

confidence: 99%

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Robust Finite-Time Control Algorithm Based on Dynamic Sliding Mode for Satellite Attitude Maneuver

Liang

2021

Mathematics

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Robust finite-time control algorithms for satellite attitude maneuvers are proposed in this paper. The standard sliding mode is modified, hence the inherent robustness could be maintained, and this fixed sliding mode is modified to dynamic, therefore the finite-time stability could be achieved. First, the finite -time sliding mode based on attitude quaternion is proposed and the loose finite-time stability is achieved by enlarging the sliding mode parameter. In order to get the strict finite-time stability, a sliding mode based on the Euler axis is then given. The fixed norm property of the Euler axis is used, and a sliding mode parameter without singularity issue is achieved. System performance near the equilibrium point is largely improved by the proposed sliding modes. The singularity issue of finite-time control is solved by the property of rotation around a fixed axis. System finite-time stability and robustness are analyzed by the Lyapunov method. The superiority of proposed controllers and system robustness to some typical perturbations such as disturbance torque, model uncertainty and actuator error are demonstrated by simulation results.

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Section: Problem Formulationmentioning

confidence: 99%

“…In order to get finite-time stability near the system equilibrium point, researchers have done a lot of work. Ye and Xiao and so on [11,12] designed finite-time controllers for satellite control. The focus of their work is the control torque allocation algorithm and the fault tolerant algorithm.…”

Section: Introductionmentioning

confidence: 99%

Robust Finite-Time Control Algorithm Based on Dynamic Sliding Mode for Satellite Attitude Maneuver

Liang

2021

Mathematics

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“…The objective of this paper is to develop a systematic quantitative method for evaluating consumers' preference levels when they view the videos by using a non-invasive brain image modality, functional near-infrared spectroscopy (fNIRS). In the field of recognition and classification (Moon et al, 2018;Zhang et al, 2018;Ansari et al, 2019;Kim and Choi, 2019;Manzanera et al, 2019;Shan et al, 2019;Lee et al, 2020;Leming et al, 2020;Liu et al, 2020;Lun et al, 2020;Thomas et al, 2020;Ye et al, 2020), convolutional neural networks (CNNs) have shown superior classification performance in speech detection, artificial intelligence, and multiple time-series processing compared to other conventional methods (Bengio, 2009;Kim et al, 2018). Owing to the ability of CNNs to extract essential features from acquired signals, it is used as a tool to decode the fNIRS signals.…”

Section: Introductionmentioning

confidence: 99%

Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study

Qing

Huang

Hong

2021

Front. Hum. Neurosci.

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This study decodes consumers' preference levels using a convolutional neural network (CNN) in neuromarketing. The classification accuracy in neuromarketing is a critical factor in evaluating the intentions of the consumers. Functional near-infrared spectroscopy (fNIRS) is utilized as a neuroimaging modality to measure the cerebral hemodynamic responses. In this study, a specific decoding structure, called CNN-based fNIRS-data analysis, was designed to achieve a high classification accuracy. Compared to other methods, the automated characteristics, constant training of the dataset, and learning efficiency of the proposed method are the main advantages. The experimental procedure required eight healthy participants (four female and four male) to view commercial advertisement videos of different durations (15, 30, and 60 s). The cerebral hemodynamic responses of the participants were measured. To compare the preference classification performances, CNN was utilized to extract the most common features, including the mean, peak, variance, kurtosis, and skewness. Considering three video durations, the average classification accuracies of 15, 30, and 60 s videos were 84.3, 87.9, and 86.4%, respectively. Among them, the classification accuracy of 87.9% for 30 s videos was the highest. The average classification accuracies of three preferences in females and males were 86.2 and 86.3%, respectively, showing no difference in each group. By comparing the classification performances in three different combinations (like vs. so-so, like vs. dislike, and so-so vs. dislike) between two groups, male participants were observed to have targeted preferences for commercial advertising, and the classification performance 88.4% between “like” vs. “dislike” out of three categories was the highest. Finally, pairwise classification performance are shown as follows: For female, 86.1% (like vs. so-so), 87.4% (like vs. dislike), 85.2% (so-so vs. dislike), and for male 85.7, 88.4, 85.1%, respectively.

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“…Sliding mode control (SMC) is a popular control algorithm and possesses several desirable characteristics, such as design simplicity, ease of implementation, and robustness to external disturbances, model uncertainties, and parameter variations. Thus, SMC has received a significant amount of attention and is widely found in diverse practical applications, including robotics [1][2][3][4][5][6], electrical and mechanical systems [7][8][9][10][11][12], and aerospace engineering [13][14][15][16][17]. Nonetheless, the conventional SMC still exhibits several drawbacks, namely chattering, asymptotic convergence, and susceptibility to mismatched disturbances.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Chattering-Attenuated Terminal Sliding Mode Control for Nonlinear Systems Subject to Matched and Mismatched Disturbances

2021

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This work presents a new disturbance observer-based chattering-attenuated terminal sliding mode control for a class of nonlinear systems in the presence of both mismatched and matched disturbances. A nonlinear disturbance observer is typically employed to accurately estimate mismatched disturbances. In this study, a terminal sliding mode control was designed, based on the disturbance estimation results, to counter the effects of disturbances and ultimately stabilize the target system. The utilization of a chattering-attenuated full-order terminal sliding mode structure satisfactorily resolves both chattering and singularity problems in controller design. It was shown by theoretical analyses that both the disturbance estimation error and the system state converge to the equilibrium point in finite time. Two simulation studies, namely a numerical example and an application to an electro hydrostatic actuator system, were conducted to examine the characteristics and to verify the effectiveness of the proposed algorithm.

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Fuzzy Sliding Mode Control of Nonparallel-ground-track Imaging Satellite with High Precision

Cited by 14 publications

References 21 publications

Robust Finite-Time Control Algorithm Based on Dynamic Sliding Mode for Satellite Attitude Maneuver

Robust Finite-Time Control Algorithm Based on Dynamic Sliding Mode for Satellite Attitude Maneuver

Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study

Disturbance Observer-Based Chattering-Attenuated Terminal Sliding Mode Control for Nonlinear Systems Subject to Matched and Mismatched Disturbances

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