Classification of airborne LiDAR point cloud data based on information vector machine

Zhiqing, 刘志青 Liu; Pengcheng, 李鹏程 Li; Xiao-wei, 陈小卫 Chen; Baoming, 张保明 Zhang; Haitao, 郭海涛 Guo

doi:10.3788/ope.20162401.0210

Cited by 5 publications

(1 citation statement)

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“…With the application of FOG, the inertial platform can theoretically achieve higher stability accuracy. During flight, the stability of the inertial platform is affected by external environment and internal disturbance, such as nonlinear friction torque, mechanical resonance, and wind resistance 1,2,3 . The traditional PID control cannot guarantee the dynamic response and stability accuracy of the system.…”

Section: Introductionmentioning

confidence: 99%

Design of nonlinear integral fuzzy sliding mode control for stability loop of FOG inertial platform

Liu

Yang

et al. 2023

Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023)

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To improve the stability accuracy and anti-interference capability of the fiber optic gyroscope (FOG) inertial platform, a nonlinear integral fuzzy sliding mode control (NIFSMC) method that can improve the stability accuracy and anti-interference capability of the inertial platform is proposed. Firstly, a nonlinear integral sliding mode control (NISMC) is adopted to rapidly converge the state of the stability loop of the inertial platform to the equilibrium state. Secondly, this article combined fuzzy control and exponential approach law. By designing the fuzzy rules, the parameters of the exponential approach law are adjusted timely. The stability accuracy of the stable loop is improved. Finally, the nonlinear integral fuzzy sliding mode control is verified by simulation experiments. Results show that the NIFSMC method can enhance disturbance rejection ability and improve stability accuracy. Compared with integral sliding mode control (ISMC) and NISMC, the stability accuracy of NIFSMC is improved by 59.2% and 48.9%, respectively.

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Section: Introductionmentioning

confidence: 99%