Optical Autonomous Navigation Technology

Wang, Dayi; Li, Maodeng; Huang, Xiang‐Yu; Zhang, Xiaowen

doi:10.1007/978-981-15-4879-6_8

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…As space technology develops and the space environment becomes more and more complex, depending on the star position and star information alone can no longer meet the new needs of current spacecraft navigation. Emerging navigation such as astronomical spectral velocimetry navigation by using spectral information has become the development trend of spacecraft navigation systems [1] [2]. Hence, the study of high-precision stellar spectrum ground simulation and calibration equipment to supplement the accuracy calibration and performance verification experimental conditions of emerging navigation methods of star-sensitive vehicles is valuable for the research and practical application to enhance the development level of star-sensitive vehicles and improve the accuracy of spacecraft autonomous navigation and control.…”

Section: Introductionmentioning

confidence: 99%

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

Liu

Zhao

et al. 2023

IEEE Access

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For the current spectral simulation based on Digital Micromirror, the spectral simulation unit has different bias properties and nonlinear modulation, which leads to the lack of a spectral simulation method for multiple color temperature modulation. In this paper, a stellar spectrum simulation method based on Genetic Algorithm and fuzzy PID compound control was proposed. It analyzed the composition and working principle of the stellar spectrum simulation system, designed the corresponding matrix algorithm, studied the compound control spectral simulation algorithm of Genetic Algorithm and fuzzy PID, constructed a dual-input, three-output fuzzy PID controller architecture, and designed the Genetic Algorithm dual-optimized fuzzy PID control algorithm. In this research, an experimental platform was built to verify the generalization and simulation accuracy of the Genetic Algorithm and fuzzy PID compound control stellar spectrum simulation method based on the 2500K-10000K color temperature spectral curve as the target. The results indicated that the error of 2500K-10000K spectral simulation was between -2.91% and 2.94%, and the error of spectral curve area simulation was between -0.18% and 0.22%.As the smoothing of the star spectrum curves fails to verify the simulation ability of detailed characteristics such as peaks and troughs, the AM1.5 solar spectrum is taken as the simulation object, which verifies the performance of the star spectrum simulation method based on a genetic algorithm and a fuzzy PID integration.On this basis, the AM1.5 solar spectrum was taken as the simulation target to verify the ability to simulate detailed features such as wave peaks and troughs based on Genetic Algorithm with fuzzy PID compound control stellar spectrum simulation method. The results revealed that the accuracy of the singlepoint spectral simulation of AM1.5 solar spectrum is -5.76%, and the spectral curve area simulation error is 0.07%. The proposed method has the ability to simulate a wide range of color temperature targets with high accuracy. It has the ability to simulate detailed features such as wave peaks and troughs. It can provide a theoretical and technical basis for the ground calibration of the high-precision star sensor development.

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Section: Introductionmentioning

confidence: 99%