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A Fuzzy Logic Based Adaptive Feedforward PI Controller for Nanometer Positioning

机译:基于模糊的基于纳米定位的自适应馈电PI控制器

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A technology driver in high precision manufacturing is a position measurement and control system which allows manufacturers to control the movement of their equipment at extremely high levels of precision. Performances of controllers play important roles in nanometer level positioning. A robust, disturbance resistant controller is necessary for nanometer positioning. However, the time varying and nonlinear properties of plants frequently result in the performance degradation of widely used PID controllers. The performance of feedback system can be improved considerably by combining PI feedback control with feedforward control together. Feedback controllers are very capable of compensating disturbances because feedback controllers are basically error driven. However, they often suffer from a trade-off between high performance and robust stability. With good dynamic property knowledge available, a feedforward controller may be able to prevent control errors, because feedforward controller output is based on the reference, instead of the error signal. Feedforward controllers improve the control performance by including a feedforward term to the PI output so that the controller can react to the command more quickly in order to bring the plant to the desired setpoint. A fuzzy logic controller will adjust the feedforward and PI feedback gains (K_(ffv), K_(ffa), K_(ffd), K_p and K_I) to adapt the change of dynamic behavior caused by the time varying and nonlinear properties inherent in the positioning systems. The developed control algorithm is simulated in MATLAB, and is implemented with a TMS320M67 DSP in an experimental nanolithography stage. A X-Y grating based metrology is used to measure the position of stage, which is more robust to environmental change and more suitable with high performance servomechanisms. Experiments show that stage will follow 10 nm step input with nm level steady state error, which is mainly caused by floor and acoustic vibrations.
机译:高精度制造的技术驱动器是一个位置测量和控制系统,使制造商能够以极高的精度控制其设备的运动。控制器的性能在纳米级定位中起重要作用。纳米定位是必要的,稳健的干扰控制器。然而,植物的时间变化和非线性特性经常导致广泛使用的PID控制器的性能下降。通过将PI反馈控制与馈电控制联合在一起,可以显着提高反馈系统的性能。反馈控制器非常能够补偿干扰,因为反馈控制器基本上是错误的驱动。然而,它们经常在高性能和稳定的稳定性之间遭受权衡。具有良好的动态特性知识可用,前馈控制器可能能够防止控制误差,因为前馈控制器输出基于参考,而不是错误信号。前馈控制器通过向PI输出包括前馈术语来提高控制性能,使得控制器可以更快地对该命令作出反应,以便将工厂带到所需的设定值。模糊逻辑控制器将调整前馈和PI反馈增益(K_(FFV),K_(FFA),K_(FFD),K_P和K_I),以调整由固有的时变和非线性属性引起的动态行为的变化定位系统。在MATLAB中模拟了开发的控制算法,并在实验纳米型级中的TMS320M67 DSP实现。基于X-Y光栅的计量学用于测量阶段的位置,这对环境变化更加坚固,更适合高性能伺服机构。实验表明,舞台将跟随10nm步进输入,具有nm级稳态误差,主要是由地板和声学振动引起的。

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