Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey
Quadrotors are widely applied in many fields, but they often face various external disturbances in actual operation. This makes it necessary to design a controller that can handle disturbances. Disturbance observer and adaptive control techniques are commonly used disturbance rejection techniques, t...
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| Published in | Actuators Vol. 13; no. 6; p. 217 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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01.06.2024
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| ISSN | 2076-0825 2076-0825 |
| DOI | 10.3390/act13060217 |
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| Abstract | Quadrotors are widely applied in many fields, but they often face various external disturbances in actual operation. This makes it necessary to design a controller that can handle disturbances. Disturbance observer and adaptive control techniques are commonly used disturbance rejection techniques, the core idea of which is to estimate the disturbances in real time and incorporate the estimated values into the controller to suppress the disturbances. In this paper, various disturbance observers and adaptive control techniques, including nonlinear disturbance observers, extended state observers, neural networks, and fuzzy logic systems, are introduced, along with their variants or different structures. These techniques improve the adaptability and robustness of quadrotors to complex environments. Finally, future research directions for the disturbance rejection of quadrotors are also presented. |
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| AbstractList | Quadrotors are widely applied in many fields, but they often face various external disturbances in actual operation. This makes it necessary to design a controller that can handle disturbances. Disturbance observer and adaptive control techniques are commonly used disturbance rejection techniques, the core idea of which is to estimate the disturbances in real time and incorporate the estimated values into the controller to suppress the disturbances. In this paper, various disturbance observers and adaptive control techniques, including nonlinear disturbance observers, extended state observers, neural networks, and fuzzy logic systems, are introduced, along with their variants or different structures. These techniques improve the adaptability and robustness of quadrotors to complex environments. Finally, future research directions for the disturbance rejection of quadrotors are also presented. |
| Audience | Academic |
| Author | Shen, Jun Wang, Ruiying |
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| CitedBy_id | crossref_primary_10_1016_j_ast_2025_109972 crossref_primary_10_3390_drones8110632 crossref_primary_10_3390_act13090323 |
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| SubjectTerms | Adaptive control adaptive control techniques Control systems design Controllers Disturbance observers Fuzzy logic Fuzzy systems Motion control Neural networks Nonlinear control quadrotor Real time Rejection Rotary wing aircraft State observers Surveys Unmanned aerial vehicles Velocity |
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| Title | Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey |
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