High-precision trajectory control method for ship parallel robot based on neural network compensation
By collecting multi-dimensional operating parameters of parallel robots, generating trajectory deviation evaluation data, and using a neural network compensation strategy matrix for multi-parameter collaborative compensation processing, the problem of trajectory deviation in the trajectory control of ship parallel robots is solved, and high-precision trajectory tracking is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO HUANGHAI UNIV
- Filing Date
- 2026-06-11
- Publication Date
- 2026-07-17
AI Technical Summary
In complex marine environments, existing technologies cannot collect multi-dimensional operating parameters in real time when controlling the trajectory of parallel robots on ships. This results in the inability to accurately assess trajectory tracking errors, mismatch between control commands and actual working conditions, and an inability to guarantee the accuracy of trajectory control.
By collecting multi-dimensional operating parameters of parallel robots on ships, trajectory deviation assessment data is generated. Based on the neural network compensation strategy matrix, multi-parameter collaborative compensation is performed to construct the optimal control strategy, drive the actuator to perform trajectory control, integrate real-time marine environmental disturbance parameters, and set up anomaly handling mechanisms.
It improves the response efficiency and accuracy of trajectory control, reduces trajectory deviation, ensures the adaptability and anti-interference of control, and enhances the high-precision trajectory tracking effect.
Smart Images
Figure CN122401437A_ABST