Dynamic precision compensation control method based on intelligent PCB drilling machine
By integrating multi-source sensors and a neural network model with embedded physical constraints onto a drilling machine, spindle deformation, thermomechanical coupling, and vibration errors are decoupled in real time, generating a multi-dimensional compensation vector. This enables high-precision and high-efficiency drilling of complex multilayer boards and solves the problem of unstable hole diameter accuracy in existing technologies.
Patent Information
- Application Number
- CN202511280203.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-09
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2045-09-09
AI Technical Summary
Existing technologies struggle to decouple the interactive errors of spindle deformation, thermomechanical coupling effects, and tool-material vibration in real time during drilling, leading to unstable hole diameter accuracy. This is especially problematic in the machining of multilayer composite materials, where the accumulation of errors is severe and fails to meet high standards.
By integrating a multi-source sensor group on the drill spindle to collect dynamic parameters in real time, and using a neural network model with embedded physical constraints to synchronously decouple the interaction error between the thermo-mechanical coupling effect and the vibration transmission chain, a multi-dimensional compensation vector is generated. Spatial trajectory correction instructions and motion parameter optimization instructions are dynamically synthesized, and at least three compensation iterations are completed within a single drilling cycle, driving the linear motor and spindle motor to perform online accuracy compensation.
It significantly improves the drilling accuracy and hole wall quality of complex multilayer boards, reduces the influence of resonance, and ensures efficient and stable processing performance.