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A Review of Attitude Stability Optimisation Research for Quadrotor UAV Based on Fuzzy PID and Adaptive Control

Author(s)

Hongyu Shi

Affiliation(s)

Central South University, Changsha, Hunan, China *Corresponding Author

Abstract

This thesis reviews the research on applying fuzzy PID and adaptive control in attitude optimisation of quadrotor UAV, focusing on the fusion mechanism of these two control methods to enhance the control performance. The improvement methods of fuzzy PID controllers and adaptive control strategies are analysed, highlighting their complementary benefits. Fuzzy PID control has advantages in dynamically adjusting PID parameters, while adaptive control excels in responding to environmental changes. Integrating these two solutions can significantly improve the attitude control performance and stability of a quadrotor UAV in complex environments.

Keywords

Component; Quadcopter UAV; Adaptive Control; Fuzzy Algorithms; Attitude Optimisation

References

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