Covariance matrix adaptation evolution strategy based optical phase control
In this letter, an investigation of the use of a covariance matrix adaptation evolution strategy (CMA‐ES) algorithm is conducted as the phase‐locking method for multi‐channel coherent beam combining (CBC) for the first time. A comprehensive numerical analysis is carried out on the operational perfor...
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Veröffentlicht in: | Electronics letters 2021-06, Vol.57 (13), p.517-519 |
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description | In this letter, an investigation of the use of a covariance matrix adaptation evolution strategy (CMA‐ES) algorithm is conducted as the phase‐locking method for multi‐channel coherent beam combining (CBC) for the first time. A comprehensive numerical analysis is carried out on the operational performances of the CMA‐ES based phase‐locking algorithm implemented into 7‐ and 19‐channel CBC systems in a filled‐aperture format. Through numerical simulations it can be verified that the CMA‐ES algorithm can readily lead to over 0.90 of normalised beam combining efficiency with appropriate algorithm parameter sets, which can also be optimised by a combinatorial study. The proposed CMA‐ES based phase‐locking algorithm is a feasible option for novel phase‐locking technique for a CBC system particularly when the local extremum issue becomes severe such as in CBC under turbulent atmospheric conditions. |
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A comprehensive numerical analysis is carried out on the operational performances of the CMA‐ES based phase‐locking algorithm implemented into 7‐ and 19‐channel CBC systems in a filled‐aperture format. Through numerical simulations it can be verified that the CMA‐ES algorithm can readily lead to over 0.90 of normalised beam combining efficiency with appropriate algorithm parameter sets, which can also be optimised by a combinatorial study. The proposed CMA‐ES based phase‐locking algorithm is a feasible option for novel phase‐locking technique for a CBC system particularly when the local extremum issue becomes severe such as in CBC under turbulent atmospheric conditions.</description><identifier>ISSN: 0013-5194</identifier><identifier>EISSN: 1350-911X</identifier><identifier>DOI: 10.1049/ell2.12174</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>Adaptation ; Algebra ; Algorithms ; Combinatorial analysis ; Control algorithms ; Control of optical systems ; Covariance matrix ; Engineering ; Engineering, Electrical & Electronic ; Lasers ; Locking ; Numerical analysis ; Optimisation techniques ; Phase and gain control ; Phase control ; Science & Technology ; Sensors ; Simulation ; Technology</subject><ispartof>Electronics letters, 2021-06, Vol.57 (13), p.517-519</ispartof><rights>2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology</rights><rights>2021. 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The proposed CMA‐ES based phase‐locking algorithm is a feasible option for novel phase‐locking technique for a CBC system particularly when the local extremum issue becomes severe such as in CBC under turbulent atmospheric conditions.</description><subject>Adaptation</subject><subject>Algebra</subject><subject>Algorithms</subject><subject>Combinatorial analysis</subject><subject>Control algorithms</subject><subject>Control of optical systems</subject><subject>Covariance matrix</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>Lasers</subject><subject>Locking</subject><subject>Numerical analysis</subject><subject>Optimisation techniques</subject><subject>Phase and gain control</subject><subject>Phase control</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>Simulation</subject><subject>Technology</subject><issn>0013-5194</issn><issn>1350-911X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>HGBXW</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkE9v1DAQxSMEEkvhwieIxA2U4vHf-IiiAhUrcQGJmzXrjEtWaRzsbOl-e7ybqkfUk2es33vz9KrqLbBLYNJ-pHHkl8DByGfVBoRijQX49bzaMAaiUWDly-pVzvuycmvNpvrWxTtMA06e6ltc0nBfY4_zgssQp5ru4ng4T3lJuNDNsd5hpr6O8zJ4HOv5d1lrH6clxfF19SLgmOnNw3tR_fx89aP72my_f7nuPm0bL5mQDWcWQmuV5t5oBS1vmUfTe6mh7T0JEqCUbwPtNPM8cFuIFiBICmg4KXFRXa--fcS9m9Nwi-noIg7u_BHTjcNU8o3kSJsdkjQAKsg-SOy5EIq8AYtM25PXu9VrTvHPgfLi9vGQphLfCWZLNAnGFOr9SvkUc04UHq8Cc6fi3al4dy6-wO0K_6VdDNkPVMp9FDDGtATdalsmBt2wVt3Fw7QU6YenSwsND_Qw0vE_kdzVdsvXcP8AmTClJw</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Kim, Hansol</creator><creator>Jeong, Yoonchan</creator><general>Wiley</general><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9554-4438</orcidid></search><sort><creationdate>202106</creationdate><title>Covariance matrix adaptation evolution strategy based optical phase control</title><author>Kim, Hansol ; 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subjects | Adaptation Algebra Algorithms Combinatorial analysis Control algorithms Control of optical systems Covariance matrix Engineering Engineering, Electrical & Electronic Lasers Locking Numerical analysis Optimisation techniques Phase and gain control Phase control Science & Technology Sensors Simulation Technology |
title | Covariance matrix adaptation evolution strategy based optical phase control |
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