Gimbal control of inertially stabilized platform for airborne remote sensing system based on adaptive RBFNN feedback model

Xiang, Biao; Mu, Quanqi

doi:10.1016/j.ifacsc.2021.100148

Cited by 13 publications

(7 citation statements)

References 26 publications

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“…In the network structure, the basis functions of the hidden layer are radial basis functions as activation functions, which are radially symmetric [30]. The most commonly used Gauss function can be expressed as follows:…”

Section: Rbfnn Modelmentioning

confidence: 99%

“…where c i is the center of the ith basis function; σ i is the variance of the ith basis function; and R i (x) is the hidden layer activation function corresponding to the input x i . In the network structure, the basis functions of the hidden layer are radial basis functions as activation functions, which are radially symmetric [30]. The most commonly used Gauss function can be expressed as follows:…”

Section: Rbfnn Modelmentioning

confidence: 99%

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A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

2023

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The hydraulic heightening system is the core component of the shearer, and its stable operation directly affects the safety and reliability of the equipment, so it is of great significance to realize an efficient and accurate fault diagnosis. This paper proposes a fault diagnosis method combining a rough set and radial basis function neural network (RS-RBFNN). Firstly, the RS is used to discretize the original fault data set and attribute reduction, remove the redundant information, and mine the implicit knowledge and potential rules. Then, the topology structure of the RBFNN is determined. The mapping relationship is established between the fault symptom and category. The fault diagnosis is carried out with Python language. Finally, the method is compared with two diagnostic methods including a back propagation neural network (BPNN) and RBFNN. The research results show that the RS-RBFNN has the highest fault diagnosis accuracy, with an average of 98.68%, which verifies the effectiveness of the proposed fault diagnosis method.

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Section: Rbfnn Modelmentioning

confidence: 99%

Section: Rbfnn Modelmentioning

confidence: 99%

A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

2023

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“…Therefore, the mutual angular velocity of the platform about the stationary frame ω PF is characterized by equation ( 2). The angular velocity of the platform ω P as viewed from the platform frame O P , is given by equation (3), where E is the Euler's transformation matrix. Then, the outer structure revolves about its Z-axis with an angle ψ which results in an angular rate between the outer and the platform frames ω op as described in equation (4).…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…DISP has been used in various engineering applications such as military [1], tracking [2], robotic, remote sensing [3], and navigation systems [4][5][6]. In these applications, the carrier disturbance in the yaw, pitch, and roll directions disturbs the stabilization of the line of sight (LOS) that forces the system to miss the required output [2,3]. In most applications, achievement of robust control needs a stabilize of at least two orthogonal axes [7].…”

Section: Introductionmentioning

confidence: 99%

Design, modeling, and manufacturing of dual-axis inertially stabilized platform

Ahmed¹,

Roshdy²,

Kamel

et al. 2022

J. Phys.: Conf. Ser.

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A dual-axis inertially stabilized platform (DISP) was designed, modelled, and manufactured to control the pitch and yaw rotations continuously about Y and Z axes respectively for the purpose of tracking and observation of moving objects from a moving platform. The DISP structure consists of an inner gimbal that carries the payload (sensors) and revolves in the elevation direction about the trunnion -axis, and an outer gimbal that makes the cross-elevation rotation (azimuth). At first, 3D model of the DISP was constructed using the parametric computer-aided design (CAD) software. Then, to investigate the kinematic and dynamic performance of the systems under various excitations, A MATLAB model is generated. The designed model is optimized using CAD software to reduce and redistribute the DISP masses for better output of the model performance. The results show a small inertia effect due to the great reduction of masses of the inner and outer frames. In addition, the elevation and azimuth torques are also decreased.

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“…The coarse-to-fine framework is a common way to realize optical beam stabilization in the presence of vibrations and disturbances [7], [8]. A gyro-feedback-based frame is applied as coarse stabilization for capturing and stabilizing a detecting target in the field of view.…”

mentioning

confidence: 99%

Performance Evaluation of Optical-Beam Stabilization Platforms With Different Supports Used in Large-Aperture Electro-Optical System

et al. 2022

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Optical-beam stabilization platform (OBSP) provides high-precision inertial reference for measurement of full link optical-beam jitter in large-aperture electro-optical systems. To ensure that its optical-beam stability meets system alignment needs, performance evaluation of OBSP is necessary. Considering two OBSPs with flexible and rigid support, their optical-beam stability performance and effect on image quality are evaluated and compared via theoretical and experimental means. The results reveal that under same sensor and control algorithm conditions, the two OBSPs perform well on dynamic-frequency characteristics and two-axis motion decoupling, they can achieve dynamic opticalbeam stabilization accuracy of 7.934 µrad and 5.762 µrad under 0.5-100Hz wide-band excitation, respectively. Moreover, optical systems equipped with OBSPs demonstrate better imaging performance (MTF value of 21% at 50 lp/mm with stable residuals of less than 7 µrad). The findings of this study provide a ready reference for the design of meter level large-aperture electro-optical systems for applications in laser communication, aerial imaging, etc.

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Gimbal control of inertially stabilized platform for airborne remote sensing system based on adaptive RBFNN feedback model

Cited by 13 publications

References 26 publications

A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

Design, modeling, and manufacturing of dual-axis inertially stabilized platform

Performance Evaluation of Optical-Beam Stabilization Platforms With Different Supports Used in Large-Aperture Electro-Optical System

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