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基于BP-PID的电主轴单元闭环稳定性温控策略

本站小编 Free考研考试/2022-01-16

张艺凡1, 王萍1, 高卫国2, 刘腾2,3, 郭悟斌2, 张大卫2
AuthorsHTML:张艺凡1, 王萍1, 高卫国2, 刘腾2,3, 郭悟斌2, 张大卫2
AuthorsListE:Zhang Yifan1, Wang Ping1, Gao Weiguo2, Liu Teng2,3, Guo Wubin2, Zhang Dawei2
AuthorsHTMLE:Zhang Yifan1, Wang Ping1, Gao Weiguo2, Liu Teng2,3, Guo Wubin2, Zhang Dawei2
Unit:1. 天津大学电气自动化与信息工程学院,天津 300072;2. 天津大学装备设计与制造技术天津市重点实验室,天津 300350;3. 河北工业大学机械工程学院,天津 300130
Unit_EngLish:1.School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2.Key Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin 300350, China
3.School of Mechanical Engineering, Hebei Univ
Abstract_Chinese:针对传统开环、同一化循环控温策略对电主轴单元结构温度场及精度稳定性控制方面的不利影响, 基于PID控制与BP神经网络相结合的方式, 提出了一种适用于电主轴单元结构的差异化和闭环稳定性温控策略, 借助BP神经网络实现了PID控制策略在电主轴单元结构温度闭环控制中关键参数的自适应动态调整.最后, 通过对比试验的方式验证了BP-PID差异化、闭环温控策略在电主轴单元结构温度场稳定性控制、热误差抑制方面的有效性, 有利于精密机床精度及精度稳定性控制的实现.
Abstract_English:In order to solve the negative influence of traditional open-loop and uniform recirculation cooling strategy on the temperature field and accuracy stability control of electric spindle unit,a differentiated and close-loop stability strategy on spindle temperature control was developed,based on the combination of PID control and BP neural network. This strategy realized the self-adaptive dynamic regulation of PID critical parameters with the help of BP neural network. Finally,the comparison experiments verified that the presented BP-PID differentiated and close-loop temperature control strategy is more advantageous in spindle temperature field stabilization and thermal error decrease. Moreover,this strategy can contribute to the improvements of accuracy and accuracy stability of precision machine tools.
Keyword_Chinese:电主轴; BP-PID; 闭环稳定性温控; 温度场; 热误差
Keywords_English:electric spindle; BP-PID; close-loop stability temperature control; temperature field; thermal error

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