Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm
High-power linearly polarized fiber lasers are widely used in coherent beam combination, nonlinear frequency conversion, and gravitational wave detection. With the increase in output power, it is challenging for fiber lasers to maintain a high polarization extinction ratio (PER). Combined with intel...
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MDPI AG
2024-10-01
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| author | Yifei Shi Yunfeng Qi Hui Shen Zhao Quan Ming Tang |
| author_facet | Yifei Shi Yunfeng Qi Hui Shen Zhao Quan Ming Tang |
| author_sort | Yifei Shi |
| collection | DOAJ |
| description | High-power linearly polarized fiber lasers are widely used in coherent beam combination, nonlinear frequency conversion, and gravitational wave detection. With the increase in output power, it is challenging for fiber lasers to maintain a high polarization extinction ratio (PER). Combined with intelligent techniques, active polarization control is a prospective method to obtain the laser output with high PER and high stability. We demonstrate a comprehensive model of an active polarization control system. The root mean square propagation (RMS-Prop) algorithm is used to control the non-polarization-maintaining (non-PM) fiber laser to generate linearly polarized laser. The parameters of the RMS-Prop algorithm are theoretically analyzed, including cost function, perturbation amplitude, and global learning rate. The simulation results show that PER is the optimal cost function. When the perturbation amplitude is 0.06 and the global learning rate is 0.6, the system can achieve the optimal control speed and accuracy. By comparison with the stochastic parallel gradient descent (SPGD) algorithm, the RMS-Prop algorithm has an advantage in obtaining higher PER. |
| format | Article |
| id | doaj-art-7dbf5346edc54dd9977ef6d25e96d550 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-7dbf5346edc54dd9977ef6d25e96d5502025-08-20T02:14:22ZengMDPI AGApplied Sciences2076-34172024-10-011421969110.3390/app14219691Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation AlgorithmYifei Shi0Yunfeng Qi1Hui Shen2Zhao Quan3Ming Tang4School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, ChinaAerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaAerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaAerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaSchool of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, ChinaHigh-power linearly polarized fiber lasers are widely used in coherent beam combination, nonlinear frequency conversion, and gravitational wave detection. With the increase in output power, it is challenging for fiber lasers to maintain a high polarization extinction ratio (PER). Combined with intelligent techniques, active polarization control is a prospective method to obtain the laser output with high PER and high stability. We demonstrate a comprehensive model of an active polarization control system. The root mean square propagation (RMS-Prop) algorithm is used to control the non-polarization-maintaining (non-PM) fiber laser to generate linearly polarized laser. The parameters of the RMS-Prop algorithm are theoretically analyzed, including cost function, perturbation amplitude, and global learning rate. The simulation results show that PER is the optimal cost function. When the perturbation amplitude is 0.06 and the global learning rate is 0.6, the system can achieve the optimal control speed and accuracy. By comparison with the stochastic parallel gradient descent (SPGD) algorithm, the RMS-Prop algorithm has an advantage in obtaining higher PER.https://www.mdpi.com/2076-3417/14/21/9691fiber laserpolarization extinction ratioactive polarization controlroot mean square propagation algorithm |
| spellingShingle | Yifei Shi Yunfeng Qi Hui Shen Zhao Quan Ming Tang Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm Applied Sciences fiber laser polarization extinction ratio active polarization control root mean square propagation algorithm |
| title | Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm |
| title_full | Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm |
| title_fullStr | Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm |
| title_full_unstemmed | Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm |
| title_short | Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm |
| title_sort | theoretical analysis on active polarization control of fiber laser based on root mean square propagation algorithm |
| topic | fiber laser polarization extinction ratio active polarization control root mean square propagation algorithm |
| url | https://www.mdpi.com/2076-3417/14/21/9691 |
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