{"title":"稀疏孔径成像系统光路联合控制算法研究","authors":"Junhong Qian, Sen Jiang, Yuan Tian, Tao Li","doi":"10.1016/j.ijleo.2025.172496","DOIUrl":null,"url":null,"abstract":"<div><div>To solve the problem of poor cophasing errors correction in the sparse aperture imaging system, a joint optimal control algorithm for optical path control is proposed. A stochastic parallel gradient descent (SPGD) algorithm is employed to create a joint control system that incorporates multiple piezoelectric ceramics in a sparse aperture imaging system, aiming to optimize imaging definition. The experimental results show that the response curves of different displacements are basically coincident with the expected displacement curves, the response time can be effectively controlled within 0.08 s for different displacements, and the position error can be effectively controlled within ±3 nm. The SPGD joint control system is applied to a three-aperture sparse aperture imaging system for comparison experiment of resolution board imaging. Quantitative evaluation of the images before and after cophasing errors correction is made, resulting in an evaluation value <em>J</em><sub>1</sub> = 0.54 before correction and <em>J</em><sub>2</sub> = 0.78 after correction. This demonstrates that the joint control system is efficient in controlling optical path accuracy, correcting cophasing errors, and achieving sub-beam interference imaging.</div></div>","PeriodicalId":19513,"journal":{"name":"Optik","volume":"338 ","pages":"Article 172496"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on joint control algorithm for optical path of sparse aperture imaging system\",\"authors\":\"Junhong Qian, Sen Jiang, Yuan Tian, Tao Li\",\"doi\":\"10.1016/j.ijleo.2025.172496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To solve the problem of poor cophasing errors correction in the sparse aperture imaging system, a joint optimal control algorithm for optical path control is proposed. A stochastic parallel gradient descent (SPGD) algorithm is employed to create a joint control system that incorporates multiple piezoelectric ceramics in a sparse aperture imaging system, aiming to optimize imaging definition. The experimental results show that the response curves of different displacements are basically coincident with the expected displacement curves, the response time can be effectively controlled within 0.08 s for different displacements, and the position error can be effectively controlled within ±3 nm. The SPGD joint control system is applied to a three-aperture sparse aperture imaging system for comparison experiment of resolution board imaging. Quantitative evaluation of the images before and after cophasing errors correction is made, resulting in an evaluation value <em>J</em><sub>1</sub> = 0.54 before correction and <em>J</em><sub>2</sub> = 0.78 after correction. This demonstrates that the joint control system is efficient in controlling optical path accuracy, correcting cophasing errors, and achieving sub-beam interference imaging.</div></div>\",\"PeriodicalId\":19513,\"journal\":{\"name\":\"Optik\",\"volume\":\"338 \",\"pages\":\"Article 172496\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optik\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0030402625002840\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optik","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0030402625002840","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
Research on joint control algorithm for optical path of sparse aperture imaging system
To solve the problem of poor cophasing errors correction in the sparse aperture imaging system, a joint optimal control algorithm for optical path control is proposed. A stochastic parallel gradient descent (SPGD) algorithm is employed to create a joint control system that incorporates multiple piezoelectric ceramics in a sparse aperture imaging system, aiming to optimize imaging definition. The experimental results show that the response curves of different displacements are basically coincident with the expected displacement curves, the response time can be effectively controlled within 0.08 s for different displacements, and the position error can be effectively controlled within ±3 nm. The SPGD joint control system is applied to a three-aperture sparse aperture imaging system for comparison experiment of resolution board imaging. Quantitative evaluation of the images before and after cophasing errors correction is made, resulting in an evaluation value J1 = 0.54 before correction and J2 = 0.78 after correction. This demonstrates that the joint control system is efficient in controlling optical path accuracy, correcting cophasing errors, and achieving sub-beam interference imaging.
期刊介绍:
Optik publishes articles on all subjects related to light and electron optics and offers a survey on the state of research and technical development within the following fields:
Optics:
-Optics design, geometrical and beam optics, wave optics-
Optical and micro-optical components, diffractive optics, devices and systems-
Photoelectric and optoelectronic devices-
Optical properties of materials, nonlinear optics, wave propagation and transmission in homogeneous and inhomogeneous materials-
Information optics, image formation and processing, holographic techniques, microscopes and spectrometer techniques, and image analysis-
Optical testing and measuring techniques-
Optical communication and computing-
Physiological optics-
As well as other related topics.