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1.西安理工大学 自动化与信息工程学院,西安 710048
2.西安工业大学 电子信息工程学院,西安 710021
3.中国计量大学 信息工程学院,杭州 310018
4.商洛学院 电子信息与电气工程学院,陕西 商洛 726000
5.西安工程大学 电子信息学院,西安 710600
6.兰州理工大学 计算机与通信学院,兰州 730050
梁静远(1989-),女,陕西西安人。助理工程师,硕士,主要研究方向为无线光通信系统调制解调技术。
柯熙政,教授。E-mail:xzke@263.net
纸质出版日期:2024-04-10,
收稿日期:2023-01-02,
修回日期:2023-01-15,
扫 描 看 全 文
梁静远,王海蓉,张娜,等. 变形镜及其控制算法研究进展[J]. 光通信研究,2024(2):220062.
Liang J Y, Wang H R, Zhang N, et al. Research Progress of Deformable Mirror and Its Control Algorithm[J]. Study on Optical Communications, 2024(2):220062.
梁静远,王海蓉,张娜,等. 变形镜及其控制算法研究进展[J]. 光通信研究,2024(2):220062. DOI: 10.13756/j.gtxyj.2024.220062.
Liang J Y, Wang H R, Zhang N, et al. Research Progress of Deformable Mirror and Its Control Algorithm[J]. Study on Optical Communications, 2024(2):220062. DOI: 10.13756/j.gtxyj.2024.220062.
【目的】
2
变形镜(DM)是自适应光学系统中实现波前校正的关键器件,其性能直接决定了系统的波前畸变校正能力。通过研究DM及其控制算法,可以不断改进自适应光学系统的校正能力。该研究一方面可以提高DM的精度和响应速度,使其更好地校正各种复杂的波前畸变,另一方面,可以改进控制算法,提高校正的效率和准确性。这些都将直接影响到自适应光学系统的成像质量和性能,因此,研究DM及其控制算法对于改进自适应光学系统的校正能力、扩展应用领域以及提升成像质量和性能具有重要意义。
【方法】
2
文章旨在梳理国内外关于DM及其控制算法的研究进展,分析不同的控制算法对波前畸变的校正精度,为自适应光学的发展奠定基础。首先以几种典型的DM为例,对DM的建模以及对分离促动器DM、拼接子DM、薄膜DM、双压电DM、微机电系统(MEMS)DM和音圈DM的结构及工作原理进行了详细介绍。接着分析了基于Prandtl-Ishlinskii(PI)迟滞模型的控制算法、解耦控制算法和稀疏采样控制算法等几种控制算法。
【结果】
2
文章总结了西安理工大学在该领域所做的工作,最后指出了未来在该领域的技术突破和改进方向。
【结论】
2
DM及其控制算法的研究为自适应光学的发展奠定了基础,使其应用于更多的领域,进一步提高自适应光学系统的性能。这将有助于改善成像质量,推动自适应光学技术的发展。
【Objective】
2
Deformable Mirror(DM) is a key device in adaptive optics system for wavefront correction
and its performance directly determines the wavefront correction capability of the system. By studying DM and their control algorithm
the wavefront correction capability of adaptive optics system can be continuously improved. On one hand
the accuracy and response speed of DM can be enhanced to better correct various complex wavefront distortions. On the other hand
the control algorithm can be improved to increase the efficiency and accuracy of the correction. These studies will directly affect the imaging quality and performance of adaptive optics system. Therefore
investigating the DM and their control algorithm is of great significance for improving the wavefront correction capability
expanding application fields
and enhancing imaging quality and performance of adaptive optics system.
【Methods】
2
The article aims to summarize the research progress on DM and their control algorithm both domestically and internationally
as well as analyze the correction accuracy of different control algorithm for wavefront distortion
establishing the groundwork for the advancement of adaptive optics. Firstly
several typical DMs are used as examples to model the DM and provide detailed introductions to the structures and working principles of separate actuator DM
splicer DM
thin film DM
dual piezoelectric DM
Micro Electromechanical System (MEMS) DM and voice coil DM. Then
several control algorithms such as the Prandtl-Ishlinskii (PI) hysteresis model-based control algorithm
decoupled control algorithm
and sparse sampling control algorithm are analyzed.
【Results】
2
Summarized the work done by Xi'an Technological University in this field
and finally pointed out the future technological breakthroughs and improvement directions in this field.
【Conclusion】
2
The research progress on DM and their control algorithm lays the foundation for the development of adaptive optics
enabling its application in more fields and further improving the performance of adaptive optics system. This will help improve imaging quality and drive the development of adaptive optics technology.
变形镜控制算法自适应光学
DMcontrol algorithmadaptive optics
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