摘要
在实际工程应用中,永磁同步电机是一个多变量、强耦合、非线性的控制对象,同时还要考虑机械系统的阻尼、刚度、摩擦特性等因素,使得数控伺服进给系统运行情况复杂,具有参数时变性和模型不确定性的特点。传统的PID控制方法不能达到满意的控制效果,利用模糊控制无需建模精确的优点,将其与PID控制相结合,控制进给系统,采用Modelica语言建模,建立了一个数控伺服系统模糊PID控制模型库,主要子模型有永磁同步电机、机械系统、模糊控制器、逆变器,并在Mworks仿真平台上进行仿真。仿真结果表明,该控制方法弥补了单纯使用PID控制不能在线调整参数的缺点,加快了系统的响应速度和提高了控制精度,具有鲁棒性强、结构简单的优点。同时该模型库还可以分析机械系统的阻尼、刚度、摩擦特性等因素对系统输出特性的影响,为数控机床进给系统的设计提供了理论和参考价值。
In practical engineering applications, permanent magnet synchronous motor （PMSM） is a multivariable, strongly coupled, nonlinear control object, and damping, stiffness, friction characteristics and other factors of the mechanical system are also considered, so that servo feed system is running in the complicated situation, with parameter variability and model uncertainty. The method of traditional PID control could not get satisfactory control performance, so that a model library of CNC servo system in fuzzy PID control was established in Modelica, with the advantage of not thinking over accurate mathematical model and combining PID control to CNC servo system. The model library mainly included PMSM, mechanical systems, fuzzy controller and inverter. The CNC servo feed system was simulated in Mworks and its result shows that the fuzzy PID control can make up the shortcomings of traditional PID control which do not adjust parameters in running, speed up the response and improve the control precision of the system. The fuzzy PID control can make the system more robust and simple. At the same time, the library can also analyze the impact of the mechanical system in damping, stiffness, friction characteristics and other factors on the output characteristics of the system and it helps to provide a theoretical and reference value for the CNC servo feed system in design.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第12期2924-2929,共6页
Journal of System Simulation
基金
"高档数控机床与基础制造装备"科技重大专项课题(2012ZX04001012)
