Intelligent leveling control method and system for flexible mechanical arm
By constructing a gravity field tilt inverse mapping model and FFT frequency domain analysis, combined with controller feedback leveling control commands, the problems of attitude leveling accuracy and response lag of the flexible robotic arm under dynamic disturbances were solved, achieving efficient attitude recognition and control response, and improving the stability and adaptability of the flexible robotic arm.
Patent Information
- Application Number
- CN202610101337.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-26
- Publication Date
- 2026-05-05
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The problems of attitude leveling accuracy and control response lag of flexible robotic arms under dynamic disturbances and gravity imbalances are that existing technologies are unable to accurately identify attitude deviations under uncertain disturbances and the control strategies lack optimization for disturbance source characteristics.
By collecting data from the flexible robotic arm, a gravity field tilt inverse mapping model is constructed. The disturbance signal features are extracted by combining FFT frequency domain analysis, and a leveling control command is generated. This command is then sent to the actuator through the controller to perform the leveling operation, and closed-loop correction is performed based on the operation feedback.
It achieves high-precision posture recognition and rapid response of flexible robotic arms in complex environments, improves the robustness and real-time performance of the control system, and enhances the ability to identify disturbances and the adaptability of control strategies.