摘要
为了实现光学自由曲面的高效精密加工,开发了一种基于音圈电机驱动的快刀伺服机构。为降低面形误差,对快刀伺服控制系统展开了研究。建立快刀伺服和音圈电机的数学模型和分析PMAC控制器和驱动器的控制算法,从而建立了快刀控制系统的仿真模型。为了减小快刀控制系统的跟踪误差,提高控制性能,提出了BP神经网络整定控制参数的方法。并对参数整定后的控制系统进行仿真和实验验证,跟踪误差为2.8μm,有效提高了快刀伺服控制系统的性能,使得满足加工的精度要求。
In order to realize the efficient and precise machining of optical free-form surface,a fast tool servo driven by voice coil motor was analyzed in this paper.In order to reduce the shape error,researched the fast tool servo control system.Established a mathematical model of the fast tool servo and voice coil motor,analyzed the control algorithm of the PMAC controller and the driver,established a simulation model of the fast tool servo control system.In order to reduce the tracking error of the fast tool servo control system and improve the control performance,a method for tuning control parameters of BP neural network was proposed.After tuning parameters,the control system was verified by simulation and test.The tracking error of fast tool servo control system was 2.8μm.The tracking performance of the fast tool servo control system has been improved.The fast tool servo satisfied the precision requirements of processing.
作者
李月
丁辉
程凯
LI Yue;DING Hui;CHENG Kai(Harbin Institute of Technology,Harbin 150001)
出处
《航空精密制造技术》
2019年第2期9-13,共5页
Aviation Precision Manufacturing Technology
基金
国家自然科学基金资助项目(51675135)
