Research on Large Caliber FSM Digital Control System Based on Voice Coil Motor

Yu, Cao; Wang, Haitao; Lv, Tao; Wang, Rui; Jing, Feng; Han, Jiuqiang; Xie, Meilin

doi:10.1109/iaeac47372.2019.8998015

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…The energized coil moves perpendicular to the coil plane under the action of ampere force in the magnetic field, thus driving the driven parts to move. VCM has advantages of zero transmission, simple mechanical structure, fast response and high positioning accuracy [5] , which makes it an ideal actuator.…”

Section: Working Principle Of Vcmmentioning

confidence: 99%

Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

Wang

2023

AOPC 2022: Optical Sensing, Imaging, and Display Technology

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As a high-precision position actuator, the voice coil motor (VCM) is widely used in technology of segmented mirror and mirror shape correction in space telescope. In response to the adverse effects of internal and external disturbances on the precision positioning of the VCM, an improved particle swarm optimization (PSO) based active disturbance rejection control (ADRC) VCM position control model is proposed in this paper. Our model is able to present a reasonable solution to the problem that ADRC has numerous parameters which are knotty to configure. In order to prevent precocious convergence or falling into local optimal, a variable weight factor search method is proposed. MATLAB and Simulink are employed for co-simulation and control experiment are designed. The simulation results show that compared with traditional PID control, the control model designed in this paper has better dynamic performance, higher tracking accuracy and better disturbance rejection performance, and it is suitable for high-precision position control under complex environment with a bright engineering application prospect.

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Section: Working Principle Of Vcmmentioning

confidence: 99%

Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

Wang

2023

AOPC 2022: Optical Sensing, Imaging, and Display Technology

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“…According to coordinate transformation, the controller calculates the displacement driven by the VCA on the actual X/Y axis. After decoupling, the controller outputs the control quantity to the VCA-running mechanism according to the control algorithm, and the whole system forms a real-time closed-loop control system [15].…”

Section: Related Workmentioning

confidence: 99%

“…It is widely used to suppress beam jitter with large values. The FSM's output accuracy determines the control accuracy of the beam dithering system [12][13][14][15]. However, when the FSM rotates in response to two free degrees, there will be mechanical coupling, that is, the response of one degree of freedom will cause the response of the other free degree.…”

Section: Introductionmentioning

confidence: 99%

A Tracking Imaging Control Method for Dual-FSM 3D GISC LiDAR

Qian

et al. 2022

Remote Sensing

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In this paper, a tracking and pointing control system with dual-FSM (fast steering mirror) composite axis is proposed. It is applied to the target-tracking accuracy control in a 3D GISC LiDAR (three-dimensional ghost imaging LiDAR via sparsity constraint) system. The tracking and pointing imaging control system of the dual-FSM 3D GISC LiDAR proposed in this paper is a staring imaging method with multiple measurements, which mainly solves the problem of high-resolution remote-sensing imaging of high-speed moving targets when the technology is transformed into practical applications. In the research of this control system, firstly, we propose a method that combines motion decoupling and sensor decoupling to solve the mechanical coupling problem caused by the noncoaxial sensor installation of the FSM. Secondly, we suppress the inherent mechanical resonance of the FSM in the control system. Thirdly, we propose the optical path design of a dual-FSM 3D GISC LiDAR tracking imaging system to solve the problem of receiving aperture constraint. Finally, after sufficient experimental verification, our method is shown to successfully reduce the coupling from 7% to 0.6%, and the precision tracking bandwidth reaches 300 Hz. Moreover, when the distance between the GISC system and the target is 2.74 km and the target flight speed is 7 m/s, the tracking accuracy of the system is improved from 15.7 μrad (σ) to 2.2 μrad (σ), and at the same time, the system recognizes the target contour clearly. Our research is valuable to put the GISC technology into practical applications.

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“…The composite axis tracking system is the main mechanism to ensure stable beam pointing and tracking [19][20][21][22][23]. Long-range and high-speed target capture, as well as stable imaging, are all achieved by pointing and tracking (PAT) systems.…”

Section: Introductionmentioning

confidence: 99%

A Dual-FSM GI LiDAR Imaging Control Method Based on Two-Dimensional Flexible Turntable Composite Axis Tracking

Cao,

Xie,

Wang

et al. 2024

Remote Sensing

Self Cite

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In this study, a tracking and pointing control system with a dual-FSM (fast steering mirror) two-dimensional flexible turntable composite axis is proposed. It is applied to the target-tracking accuracy control in a GI LiDAR (ghost imaging LiDAR) system. Ghost imaging is a multi-measurement imaging method; the dual-FSM GI LiDAR tracking and pointing imaging control system proposed in this study mainly solves the problems of the high-resolution remote sensing imaging of high-speed moving targets and various nonlinear disturbances when this technology is transformed into practical applications. Addressing the detrimental effects of nonlinear disturbances originating from internal flexible mechanisms and assorted external environmental factors on motion control’s velocity, stability, and tracking accuracy, a nonlinear active disturbance rejection control (NLADRC) method based on artificial neural networks is advanced. Additionally, to overcome the limitations imposed by receiving aperture constraints in GI LiDAR systems, a novel optical path design for the dual-FSM GI LiDAR tracking and imaging system is put forth. The implementation of the described methodologies culminated in the development of a dual-FSM GI LiDAR tracking and imaging system, which, upon thorough experimental validation, demonstrated significant improvements. Notably, it achieved an improvement in the coarse tracking accuracy from 193.29 μrad (3σ) to 87.21 μrad (3σ) and enhanced the tracking accuracy from 10.1 μrad (σ) to 1.5 μrad (σ) under specified operational parameters. Furthermore, the method notably diminished the overshoot during the target capture process from 28.85% to 12.8%, concurrently facilitating clear recognition of the target contour. This research contributes significantly to the advancement of GI LiDAR technology for practical application, showcasing the potential of the proposed control and design strategies in enhancing system performance in the face of complex disturbances.

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Research on Large Caliber FSM Digital Control System Based on Voice Coil Motor

Cited by 7 publications

References 4 publications

Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

A Tracking Imaging Control Method for Dual-FSM 3D GISC LiDAR

A Dual-FSM GI LiDAR Imaging Control Method Based on Two-Dimensional Flexible Turntable Composite Axis Tracking

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