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数控机床双电机同步控制技术分析与实验研究
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Analysis and experimental research on synchronous control technology of CNC machine tool of double motor
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    摘要:

    采用双电机驱动的数控机床,常出现同步误差,使工作台受到不平衡扭矩的作用,影响了机床的加工精度。将模糊推理与神经网络相结合,提出模糊神经PID控制策略,实现PID控制参数的实时调整;同时,把伺服电机的控制电流和丝杠的实时位置作为衡量指标,进行仿真分析和实验研究。结果表明:该方法能有效减小同步误差,提高工件加工精度,较好地满足被控对象对高精度的要求,具有一定的实际应用价值。

    Abstract:

    The double electric machine is used to drive the numerical control machine tool, the synchronization error often occurs, which causes the working platform to be affected by the unbalanced torque, affect the machining accuracy of the machine tool. The fuzzy inference and neural network combined with the proposed fuzzy neural PID control strategy, realize the realtime adjustment of PID control parameters; at the same time, the realtime position control of servo motor current and screw as measure, simulation analysis and experimental research. The results show that the method can effectively reduce the synchronization error, improve the machining accuracy, and better meet the requirements of the high precision of the controlled object, which has certain practical value.

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引用本文

谭丽娜.数控机床双电机同步控制技术分析与实验研究[J].机床与液压,2016,44(24):138-145.
. Analysis and experimental research on synchronous control technology of CNC machine tool of double motor[J]. Machine Tool & Hydraulics,2016,44(24):138-145

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  • 在线发布日期: 2017-02-13
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