钻机顶部驱动装置数字孪生体动力系统多域耦合机理模型与实时协同仿真OA

In the process of drilling 10000 m deep strata,the power system for the top drive drilling equipment(hereinafter referred to as top drive)of drilling rig often suffers dynamic instability due to the violent stick-slip vibration of drill string,which seriously threatens the service life and operation safety of the top drive system.In order to accurately capture the nonlinear coupling process of mechanical transmission chain and drive motor of top drive system,this paper proposes a distributed real-time co-simulation method based on AMESim,LabVIEW and MySQL,and constructs a"command sending-model simulation-data storage"closed-loop architecture with database as the hub.Then,an electromechanical coupling model containing"torque feedforward-speed feedback"bidirectional interface is established by taking the unified multi-physical domain modeling strategies.The model integrates dual-motor vector control,multi-stage gear transmission,and nonlinear energy dissipation mechanisms.Finally,the LuGre model is introduced to reproduce stick-slip vibration.The following results are obtained.First,the average error between the steady-state output power of the model and the design value is less than 3.6％,indicating high fidelity.Second,the platform supports millisecond-level online regulation and full-link data synchronization,achieving the conversion from static model to dynamic entity.Third,the fault injection simulation of gear stiffness reduction successfully reproduces the fault evolution process along the electromechanical coupling path,accurately captures the key dynamic features such as dual-motor torque reverse-phase compensation oscillation and main shaft output high-frequency pulsation,and reveals the mechanisms of system instability under high-speed weak-magnetic working conditions.In conclusion,the closed-loop architecture and high-fidelity electromechanical coupling model provides a core technical support for the engineering application,intelligent operation and maintenance,and fault prediction of the digital twin of top drive system,as well as a virtual experiment platform for exploring failure modes and validating diagnosis algorithm.