【摘要】 为了提高偏心轴的加工精度,减小偏心轴的廓形误差,引入模糊自适应PID迭代学习控制算法,通过建立偏心轴加工数学模型分析偏心轴磨床X-C轴的跟踪误差关系,建立偏心轴廓形误差模型,通过MATLAB的Simulink仿真工具建立偏心轴廓形误差仿真程序,进行仿真实验。通过实验表明模糊自适应PID迭代学习控制器与普通PID控制加工相比,模糊自适应PID迭代学习控制器能够有效提高偏心轴的加工精度。更多还原

【Abstract】 In order to improve the machining accuracy of eccentric shaft and reduce the contour error of eccentric shaft, a fuzzy adaptive PID iterative learning control algorithm is introduced. By establishing the mathematical model of eccentric shaft, the X-C axis tracking error of eccentric shaft grinder is analyzed to establish the eccentric shaft profile. Shape error model, through MATLAB′S Simulink simulation tool to establish eccentric axis contour error simulation program for simulation experiments. Experiments show that the fuzzy self-adaptive PID iterative learning controller is more effective than ordinary PID control processing. The fuzzy self-adaptive PID iterative learning control method can effectively improve the machining accuracy of the eccentric shaft.更多还原