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A coupling motional control method based on parametric predictive and variable universe fuzzy control for multi-axis CNC machine tools

机译:基于参数预测和变域模糊控制的多轴数控机床耦合运动控制方法

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摘要

The motional smoothness and contour precision of the CNC system are the key factors to ensuring the machining accuracy for multi-axis CNC machine tools. To improve the motional smoothness and contour precision for CNC machine tools, a control method based on parametric predictive and variable universe fuzzy control is presented. The model of the multi-axis drive system is established. The multi-axis model of parametric predictive control is proposed, where the model is structured, and output of the model is developed. A new improved quadratic performance index is proposed to guarantee the motional smoothness and contour precision, and the real-time calculation of the optimal control rate is deduced. A control approach of the nonlinear error compensation is presented to reduce contour error between the parametric predictive model and the actual output, where the adaptive error compensation controller is designed, and adaptive adjusting factors of variable universe are developed. The proposed control method is evaluated by simulations and experimentations. Simulation and experimental results have demonstrated that the proposed control approach can significantly improve the motional smoothness and machining precision for CNC machine tools.
机译:CNC系统的运动平滑度和轮廓精度是确保多轴CNC机床加工精度的关键因素。为了提高数控机床的运动平稳性和轮廓精度,提出了一种基于参数预测和变论域模糊控制的控制方法。建立了多轴驱动系统的模型。提出了参数预测控制的多轴模型,构造了模型,并开发了模型的输出。提出了一种新的改进的二次性能指标,以保证运动的平滑性和轮廓精度,并推导了最优控制率的实时计算方法。提出了一种非线性误差补偿的控制方法,以减少参数预测模型与实际输出之间的轮廓误差,设计了自适应误差补偿控制器,并开发了可变宇宙的自适应调整因子。仿真和实验对所提出的控制方法进行了评估。仿真和实验结果表明,所提出的控制方法可以显着提高数控机床的运动平稳性和加工精度。

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