Concept Design and Intelligent Control of Solar Sail With Numerous Discrete Elements

Chen, Lin; Luo, Tong; Xu, Ming; Zuo, Xiaoyu

doi:10.1109/taes.2022.3151588

Cited by 1 publication

(6 citation statements)

References 28 publications

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“…By comparing the two simulations, it can be found that the overshot of IFLCD is much less than the overshot of the method in Ref. [25]. Besides, the stable control errors of IFLCD are much less than those in Figures 12 and 13, but the settling time of IFLCD is quite bigger than that in Ref.…”

Section: Discussionmentioning

confidence: 79%

“…Besides, the stable control errors of IFLCD are much less than those in Figures 12 and 13, but the settling time of IFLCD is quite bigger than that in Ref. [25]. IFLCD spent about 10 times as much time consumption as the method in Ref.…”

Section: Discussionmentioning

confidence: 82%

“…In order to evaluate the control performance of IFLCD in time-varying scenario, an attitude stabilization simulation of SSICE under the same initial condition is carried out by using the reconstruction control method in Ref. [25] as shown in Figures 12 and 13. However, the solar sail model used in Ref.…”

Section: Discussionmentioning

confidence: 99%

“…However, the solar sail model used in Ref. [25] is solar sail with numerous discrete elements (SSNDE), which is originated from SSICE. By comparing the two simulations, it can be found that the overshot of IFLCD is much less than the overshot of the method in Ref.…”

Section: Discussionmentioning

confidence: 99%

“…The force and moment on the entire SSICE are obtained by reckoning every blade into counting. However, considering the performance degradation and machine failure [25], actual torque would be different from the ideal value. Obviously, the relationship between rotation angles and actual torque is variational.…”

Section: Dynamic Analysis Of Ssicementioning

confidence: 99%

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Intelligent Fuzzy Control in Stabilizing Solar Sail with Individually Controllable Elements

Chen

Santos

et al. 2022

Space Sci Technol

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Fuzzy logical control is a robust and effective control method in industrial fields, which renders it applicable to the attitude control of a solar sail. However, it is hard to apply in black-box and time-varying problem as real solar sail attitude control. Considering the lack of a priori knowledge and the unacceptable manual workload in the design of the fuzzy logical controller (FLC), an intelligent FLC designer (IFLCD) is developed by introducing neural network modelling and automatic design method. Besides, IFLCD also supports self-adaption for better control accuracy. By applying the proposed IFLCD in the attitude stabilization of a solar sail with individually controllable elements (SSICE), an effective solution of unmanned, time-varying, and complex system control method is offered without any mathematical model, which also overcomes the difficulties in FLC design Considering the performance degradation, accident, and distance problems faced by spacecraft, IFLCD can help with more practical problems that are hard be solved by traditional control theory.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Dynamic Analysis Of Ssicementioning

confidence: 99%

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