一种全角模式下的半球谐振陀螺鲁棒智能控制方法
By designing a robust intelligent control method based on a switching mechanism, and combining neural networks and adaptive dynamic programming, the problems of frequency fragmentation and damping non-uniformity of hemispherical resonant gyroscopes in dynamic environments were solved, achieving robust tracking and optimal control of the system, and improving the measurement accuracy and stability of the gyroscope.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2023-09-04
- Publication Date
- 2026-07-17
AI Technical Summary
In dynamic environments, hemispherical resonant gyroscopes suffer from unknown nonlinear dynamic problems caused by frequency fragmentation and uneven damping, which are difficult to suppress simultaneously and effectively with existing technologies, especially when the environment changes and the desired effect cannot be achieved.
We design a robust intelligent control method based on a switching mechanism, combining neural network approximation and adaptive dynamic programming. Through a robust intelligent controller and an optimal controller, we achieve robust tracking and optimal control of frequency fragmentation and damping inhomogeneity.
In dynamic environments, effective suppression of frequency fragmentation and damping inhomogeneity is achieved, ensuring optimal system performance in terms of control accuracy and energy consumption, and improving the measurement accuracy and stability of the gyroscope.
Smart Images
Figure CN117170234B_ABST