数控进给伺服系统摩擦补偿控制仿真  

Simulation of friction compensation control of NC feed servo system

作　　者：智淑亚[1] 吴洪兵 ZHI Shu-ya;WU Hong-bing(Department of Mechanical and Electrical Engineering,Jinling Institute of Technology,Nanjing 211169,China)

机构地区：[1]金陵科技学院机电工程学院

出　　处：《沈阳工业大学学报》2019年第4期361-365,共5页Journal of Shenyang University of Technology

基　　金：江苏省自然科学基金资助项目(BK20170119);金陵科技学院高层次人才科研启动基金资助项目(Jit-B-201627)

摘　　要：针对伺服系统传动机构中摩擦对系统控制精度的影响问题,提出了一种遗传算法与模糊控制复合方法.建立了Stribeck+静摩擦力模型,设计了一种基于遗传算法的模糊补偿控制器,并将模糊补偿控制器应用于伺服系统中进行仿真.仿真结果表明,此方法不仅可有效抑制摩擦力对数控进给伺服系统的非线性作用及系统的低速爬行现象,而且可提高进给伺服系统的动态性能.采用不同的初始控制规则进行分析后发现,设置的初始值对遗传算法的收敛速度和系统的摩擦补偿均具有良好效果.Focused on the influence of friction on system control precision in the transmission mechanism of servo system,a complex method based on both genetic algorithm and fuzzy control was proposed. A Stribeck + static friction force model was established,and a fuzzy compensation controller based on genetic algorithm was designed and applied to a servo system for simulation. Simulation results showthat the as-proposed method can effectively suppress the nonlinear effect of friction force on numerical control( NC) feed servo system and the creeping phenomena at lower speed,and dynamic performance of feed servo system also gets improved. When different initial control rules are used for analysis,it is found that the initial setup values have positive effect on the convergence speed of genetic algorithm and the friction compensation for system.

关 键 词：进给伺服系统 摩擦力模型 模糊PID控制 摩擦补偿 遗传算法 补偿控制器 跟踪误差 

分 类 号：TH165[机械工程—机械制造及自动化]