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Modeling and motion control of 6-DOF ultra-precision stage based on iterative learning and fractional-order PID

机译:基于迭代学习和分数阶PID的六自由度超精密平台建模与运动控制

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Both the high positioning accuracy and the high moving speed are critical performance pursued in motion control of the precision stage, especially in semiconductor industry. To satisfy these requirements simultaneously, a novel control strategy is proposed in this paper, which combines the iterative learning control and fractional-order PID control together. Based on the kinematical analysis and the motion decoupling model, the control framework is constructed. The ILC-fractional-order PID controller is used for the position loop, while the classical PID controller is chosen for the current loop and the speed loop. Considering the dynamical motion performance, the parameters adjusting method is illustrated in detail by discussing different effects of control factors. By simulation analysis, the proposed strategy could maintain high positioning accuracy with high-frequency periodical input. And the experiments carried on a reticle stage for the lithography machine verified the effectiveness of this novel method. The positioning accuracy could reach nano-scale with the movement speed of 1.2m/s.
机译:高定位精度和高移动速度都是在精密平台的运动控制中追求的关键性能,尤其是在半导体工业中。为了同时满足这些要求,提出了一种新颖的控制策略,将迭代学习控制和分数阶PID控制结合在一起。基于运动学分析和运动解耦模型,构造了控制框架。 ILC分数阶PID控制器用于位置环,而经典PID控制器则用于电流环和速度环。考虑动态运动性能,通过讨论控制因素的不同影响,详细说明了参数调整方法。通过仿真分析,提出的策略可以在高频期刊输入的情况下保持较高的定位精度。光刻机在标线板上进行的实验证明了该新方法的有效性。定位精度可以达到纳米级,移动速度为1.2m / s。

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