Paper
3 February 2015 Phase-distortion correction based on stochastic parallel proportional-integral-derivative algorithm for high-resolution adaptive optics
Yang Sun, Ke-nan Wu, Hong Gao, Yu-qi Jin
Author Affiliations +
Proceedings Volume 9255, XX International Symposium on High-Power Laser Systems and Applications 2014; 925537 (2015) https://doi.org/10.1117/12.2065286
Event: XX International Symposium on High Power Laser Systems and Applications, 2014, Chengdu, China
Abstract
A novel optimization method, stochastic parallel proportional-integral-derivative (SPPID) algorithm, is proposed for high-resolution phase-distortion correction in wave-front sensorless adaptive optics (WSAO). To enhance the global search and self-adaptation of stochastic parallel gradient descent (SPGD) algorithm, residual error and its temporal integration of performance metric are added in to incremental control signal’s calculation. On the basis of the maximum fitting rate between real wave-front and corrector, a goal value of metric is set as the reference. The residual error of the metric relative to reference is transformed into proportional and integration terms to produce adaptive step size updating law of SPGD algorithm. The adaptation of step size leads blind optimization to desired goal and helps escape from local extrema. Different from conventional proportional-integral -derivative (PID) algorithm, SPPID algorithm designs incremental control signal as PI-by-D for adaptive adjustment of control law in SPGD algorithm. Experiments of high-resolution phase-distortion correction in “frozen” turbulences based on influence function coefficients optimization were carried out respectively using 128-by-128 typed spatial light modulators, photo detector and control computer. Results revealed the presented algorithm offered better performance in both cases. The step size update based on residual error and its temporal integration was justified to resolve severe local lock-in problem of SPGD algorithm used in high -resolution adaptive optics.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Sun, Ke-nan Wu, Hong Gao, and Yu-qi Jin "Phase-distortion correction based on stochastic parallel proportional-integral-derivative algorithm for high-resolution adaptive optics", Proc. SPIE 9255, XX International Symposium on High-Power Laser Systems and Applications 2014, 925537 (3 February 2015); https://doi.org/10.1117/12.2065286
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Cited by 2 scholarly publications.
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KEYWORDS
Optimization (mathematics)

Detection and tracking algorithms

Feedback control

Adaptive optics

Stochastic processes

Sensors

Image enhancement

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