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基于模型辨识的数控机床专用伺服电机位置控制
引用本文:丘永亮. 基于模型辨识的数控机床专用伺服电机位置控制[J]. 航空动力学报, 2017, 44(11): 50-54
作者姓名:丘永亮
作者单位:广东工贸职业技术学院,广东 广州510510
基金项目:广东省自然科学基金项目(2015A030310266);广东省数控一代机械产品创新应用示范工程专项(2013B011301012);广东工贸职业技术学院院级资助项目(2017Z7)
摘    要:数控机床精密加工要求伺服电机具有精度高和响应快等特性,而传统的伺服控制器位置环采用的是简单的误差比例(P)控制,这种控制方法的响应性不能满足加工要求。提出一种基于模型辨识的伺服电机角位移控制方法。首先,采用最小二乘法辨识出传统闭环控制系统的模型;然后,分析模型的零、极点,根据模型特性设计补偿控制器;最后,通过试验结果说明所提方法能快速、准确地跟随系统输入。

关 键 词:数控机床  最小二乘法  位置控制  伺服电机  模型辨识

Position Control Based on Model Identification for Servo MotorUsing in Computer Numerical Control
QIU Yongliang. Position Control Based on Model Identification for Servo MotorUsing in Computer Numerical Control[J]. Journal of Aerospace Power, 2017, 44(11): 50-54
Authors:QIU Yongliang
Affiliation:Guangdong College of Industry and Commerce, Guangzhou 510510, China
Abstract:Servo motor used in computer numerical control (CNC) need be controlled precisely and fast. But the current servo driver based on Proportion (P) for error was not good for the high performance application. A novel control method based on model identification was proposed. Firstly, a least square algorithm was used to obtain the servo driver model. Then, a compensation controller based on P controller was designed for driving the gain of over transfer function equal to 1, so that the output could track the input signal precisely. The experiments demonstrated that the proposed modeling method and control algorithm could achieve high control performance.
Keywords:computer numerical control   least square   position control   servo motor   model identification
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