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基于自适应滑模控制的进给系统运动精度和节能的研究
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云南省首批新工科研究与实践项目; 全国教育信息技术研究课题(186140106)


Research on Motion Precision and Energy Saving of Feed System Based on Adaptive Sliding Mode Control
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    摘要:

    为了提高进给系统的运动精度和降低其能耗,设计一种自适应滑模控制方法。对进给系统的机械结构进行剖析,分析其组成。通过丝杠导程和效率计算丝杆的负载扭矩,并在丝杆负载扭矩的基础上得出丝杆的动力学方程。在电机转矩的作用下,建立电机轴的运动方程。进而在电机的作用下,得到进给系统的状态方程。以系统的跟踪误差为依据,构建非线性滑动面,在进给系统状态方程的基础上,以驱动系统状态趋于期望滑动面为目的,设计滑模控制律,并控制误差的薄边界层为约束,构造自适应增益模型,完成自适应滑模控制方法的设计。采用所提方法和神经网络方法对直线变化和圆周期望运动轨迹进行跟踪实验。结果表明:在跟踪直线变化和圆周期望运动轨迹时,所提方法的跟踪精度比神经网络方法分别提高了37.52%和32.72%,所提方法的能耗也比神经网络方法降低了10.37%。

    Abstract:

    In order to improve the motion accuracy and reduce the energy consumption of the feed system,an adaptive sliding mode control method was designed.The mechanical structure of the feed system was analyzed,and its composition was analyzed.The load torque of the lead screw was calculated through the lead and efficiency of the lead screw,and the dynamic equation of the lead screw was obtained based on the load torque of the lead screw.Under the action of motor torque,the motion equation of the motor shaft was established.Then,under the action of the motor,the state equation of the feed system was obtained.Based on the tracking error of the system,the nonlinear sliding surface was constructed.On the basis of the state equation of the feed system,the sliding mode control law was designed for the purpose that the state of the drive system tended to the desired sliding surface,and the adaptive gain model was constructed with the thin boundary layer of the control error as the constraint,and the design of the adaptive sliding mode control method was completed.The experimental results show that the tracking accuracy of the proposed method is 37.52% and 32.72% higher than that of the neural network method,and the energy consumption of the proposed method is 10.37% lower than that of the neural network method.

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唐伦,陈玲.基于自适应滑模控制的进给系统运动精度和节能的研究[J].机床与液压,2021,49(20):64-68.
TANG Lun, CHEN Ling. Research on Motion Precision and Energy Saving of Feed System Based on Adaptive Sliding Mode Control[J]. Machine Tool & Hydraulics,2021,49(20):64-68

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  • 在线发布日期: 2023-04-07
  • 出版日期: 2021-10-28