Neural Network Based Finite-time Super Twisting Sliding Mode Control For Quad-rotor UAV With Parameter Uncertainty and Mismatched Disturbance

Ma, Zhibao; Ding, Jie; Zhou, Yingjiang; Yuan, Tingting

doi:10.23919/ccc55666.2022.9901848

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Yin et al [25] designed a double closed loop controller based on disturbance observer compensation for synchronous generator voltage stabilization control, which improved the system's anti-disturbance performance. Ma et al [26] designed a finite time sliding mode controller based on a disturbance observer for attitude tracking and disturbance suppression of a quadrotor Unmanned Aerial Vehicle (UAV), and get a good performance. In summary, for the high precision control needs of space based gravitational wave detectors, in order to achieve noise suppression and attitude tracking accuracy performance within the measurement bandwidth, the method of finite frequency optimization can be considered.…”

Section: Introductionmentioning

confidence: 99%

Constellation attitude tracking control of the space gravitational wave observatory under configuration disturbances

Deng,

Meng

2023

Phys. Scr.

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Space based gravitational wave detectors require a precision relative attitude pointing control in science mode. Their configuration drifts under the influence of perturbations. The spacecraft and telescope optical assembly attitude control loops need to respond to this change in real time. In particular, the constellation reference attitude of the detectors orbiting the earth changes much more than the detectors orbiting the sun, which posing a great challenge to the control system. This article focuses on the constellation attitude tracking problem of the space gravitational wave observatory under configuration disturbances, and systematically analyzes the evolution of the constellation reference attitude. A control method based on finite frequency optimization combine with an improved error-disturbance based observer is proposed. Numerical algorithm simulations show that the method can obtain precise attitude tracking in the measurement bandwidth while effectively suppress the unknown disturbances. Compare with the disturbance based observer controller, the overall error can be reduced by 55% of the original.

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Section: Introductionmentioning

confidence: 99%

Constellation attitude tracking control of the space gravitational wave observatory under configuration disturbances

Deng,

Meng

2023

Phys. Scr.

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Tracking Control for The UAV With Disturbance Observer and RBFNN under Actuator Fault

Huang,

Zhao,

Chen

et al. 2023

2023 7th International Symposium on Computer Science and Intelligent Control (ISCSIC)

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The Event-Triggered Sliding Mode Control for a QUAV Based on a Disturbance Observer

2023

2023 Smart City Challenges &Amp;amp; Outcomes for Urban Transformation (SCOUT)

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Neural Network Based Finite-time Super Twisting Sliding Mode Control For Quad-rotor UAV With Parameter Uncertainty and Mismatched Disturbance

Cited by 3 publications

References 13 publications

Constellation attitude tracking control of the space gravitational wave observatory under configuration disturbances

Constellation attitude tracking control of the space gravitational wave observatory under configuration disturbances

Tracking Control for The UAV With Disturbance Observer and RBFNN under Actuator Fault

The Event-Triggered Sliding Mode Control for a QUAV Based on a Disturbance Observer

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