Author Affiliations
Abstract
1 College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China
2 Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
3 Hunan Provincial Key Laboratory of High Energy Laser Technology, National University of Defense Technology, Changsha 410073, China
The high-power mode-programmable orbital angular momentum (OAM) beam has attracted significant attention in a wide range of applications, such as long-distance optical communication, nonlinear frequency conversion, and beam shaping. Coherent beam combining (CBC) of an optical phased array (OPA) can offer a promising solution for both generating the high-power OAM beam and rapidly switching the OAM modes. However, achieving real-time phase noise locking and formation of desired phase structures in a high-power CBC system faces significant challenges. Here, an internal phase-sensing technique was utilized to generate the high-power OAM beam, which effectively mitigated thermal effects and eliminated the need for large optical devices. An OPA with six elements was employed for experimental demonstration. The first effective generation of over 1.5 kW mode-programmable OAM beam in a continuous-wave domain was presented. Moreover, the results demonstrated that the generated OAM beam could be modulated with multiple dimensions. The topological charge can be switched in real time from -1 to -2. Notably, this OAM beam emitter could function as an OAM beam copier by easily transforming a single OAM beam into an OAM beam array. More importantly, a comprehensive analysis was conducted on power scaling, mode switching speed, and expansion of OAM modes. Additionally, the system’s compact design enabled it to function as a packageable OAM beam emitter. Owing to the advantages of having high power and programmable modes with multiple dimension modulation in phase structures and intensity distribution, this work can pave the way for producing high-power structured light beams and advancing their applications.
orbital angular momentum optical vortex optical phased array coherent beam combining Chinese Optics Letters
2024, 22(2): 021402
1 国防科技大学前沿交叉学科学院,湖南 长沙 410073
2 国防科技大学南湖之光实验室,湖南 长沙 410073
3 国防科技大学高能激光技术湖南省重点实验室,湖南 长沙 410073
以19路、127路和919路激光相干阵列为模型,通过倾斜波前调控技术对阵列光场的子阵元施加倾斜相位控制,对倾斜可控阵列光场的大角度二维扫描特性进行了理论和实验研究。结果表明,所提出的方法可实现大视场范围内任意位置的单点扫描,同时得到能量分布均匀的二维连续扫描路径,实现特殊光场图案定制。此外,该方法具有扫描范围不受限制、扫描模式准连续以及衍射效率高等特点,在提升输出功率和扫描精度等方面具有优势。
激光光学 激光阵列 相干合成 倾斜调控 二维扫描 光场定制
Author Affiliations
Abstract
1 College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China
2 Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
We experimentally demonstrated a cascaded internal phase control technique. A laser array with 12 channels was divided into three sub-arrays and a stage array, and phases of the sub-arrays and the stage array were locked by four phase controllers based on the stochastic parallel gradient descent (SPGD) algorithm, respectively. In this way, the phases of the whole array were locked, and the visibility of the interference pattern of the whole emitted laser array in the far field was . In addition, the technique has the advantage of element expanding and can be further used in the high-power coherent beam combination (CBC) system due to its compact spatial structure.
coherent beam combining laser array cascaded control internal phase control Chinese Optics Letters
2023, 21(8): 081402
红外与激光工程
2023, 52(6): 20230250
1 国防科技大学前沿交叉学科学院,湖南 长沙 410073
2 国防科技大学南湖之光实验室,湖南 长沙 410073
3 高能激光技术湖南省重点实验室,湖南 长沙 410073
光纤激光阵列相位调控技术既可以突破单路光纤激光功率提升瓶颈,也是高功率特殊光场生成的有效途径之一。随着人工智能技术的迅速发展,将先进的智能算法引入激光阵列系统的控制模块中有望实现闭环相位控制能力的提升。综述了近年来基于机器学习的光纤激光阵列相位控制技术的最新研究进展,并对机器学习赋能光纤激光阵列相位调控的发展趋势和挑战进行了展望。
激光光学 光纤激光 阵列激光 机器学习 相位控制 中国激光
2023, 50(11): 1101010
强激光与粒子束
2023, 35(4): 041004
强激光与粒子束
2023, 35(4): 041008
Author Affiliations
Abstract
College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China
In recent years, machine learning, especially various deep neural networks, as an emerging technique for data analysis and processing, has brought novel insights into the development of fiber lasers, in particular complex, dynamical, or disturbance-sensitive fiber laser systems. This paper highlights recent attractive research that adopted machine learning in the fiber laser field, including design and manipulation for on-demand laser output, prediction and control of nonlinear effects, reconstruction and evaluation of laser properties, as well as robust control for lasers and laser systems. We also comment on the challenges and potential future development.