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上海交通大学学报(自然版)
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摩擦补偿脉冲特征参数的自适应配置方法
冯斌a,梅雪松a,b,杨军a,黄晓勇a
(西安交通大学a.机械工程学院; b.机械制造系统工程国家重点实验室,西安 710049)
 
Adaptive Configuration Method of Friction Compensation Pulse Characteristic Parameters
 
FENG Bina,MEI Xuesonga,b,YANG Juna,HUANG Xiaoyonga
(a. School of Mechanical Engineering; b. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
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摘要 
提出了一种摩擦补偿脉冲特征参数的自适应配置方法.依据运动轨迹参数、摩擦力矩、摩擦补偿效果最优值、相关动态特性信息以及伺服控制参数,通过动态迭代过程,精确计算出摩擦补偿脉冲特征参数,并在精密运动平台上进行了摩擦补偿脉冲特征参数的自适应配置实验.结果表明,在不同的工况及运动轨迹条件下,所提出的方法均能够达到较好的摩擦补偿效果,且其误差峰值偏差均小于1 μm.
 
 
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Abstract
A novel adaptive configuration method of friction compensation pulse characteristic parameters was proposed. The friction compensation pulse characteristic parameters were accurately calculated by the dynamic iterative process based on trajectory parameters, friction torque, the desired performance value, dynamic information and servo control parameters. This method was adopted to compensate for the friction error on the precision motion worktable. The experiment results show that the proposed method has a better performance and the deviation peak of tracking error is less than  1 μm under different working conditions and trajectories.
收稿日期: 2013-08-02      出版日期: 2013-08-02
ZTFLH:     
  TH 113.2  
基金资助:

国家科技重大专项(2012ZX04005011)资助项目

引用本文:   
冯斌a,梅雪松a,b,杨军a,黄晓勇a. 摩擦补偿脉冲特征参数的自适应配置方法[J]. 上海交通大学学报(自然版), .
FENG Bina,MEI Xuesonga,b,YANG Juna,HUANG Xiaoyonga. Adaptive Configuration Method of Friction Compensation Pulse Characteristic Parameters
 
. J. Shanghai Jiaotong Univ.(Sci.) , 2014, 48(05): 713-718.
链接本文:  
http://www.qk.sjtu.edu.cn/jsjtunc/CN/      或      http://www.qk.sjtu.edu.cn/jsjtunc/CN/Y2014/V48/I05/713
[1]Jeon S. Integrator leakage for limit cycle suppression in servo mechanisms with stiction [J]. Journal of Dynamic Systems Measurement and ControlTransactions of the ASME, 2012, 134 (3):18.

[2]ArmstrongHélouvry B, Dupont P, Wit D L. A survey of models, analysis tools and compensation methods for the control of machines with friction [J]. Automatica, 1994, 30 (7):10831138.

[3]Chen G S, Mei X S, Tao T. Friction compensation using a double pulse method for a highspeed highprecision table [J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2011, 225 (5): 12631272.

[4]Wei S H, Chun W L, Pau L H, et al. Precision Control and compensation of servomotors and machine tools via the disturbance observer [J]. IEEE Transactions on Industrial Electronics, 2010, 57 (1): 420429.

[5]Sun M W, Wang Z H, Wang Y K, et al. On lowvelocity compensation of brushless DC servo in the absence of friction model [J]. IEEE Transactions on Industrial Electronics, 2013, 60 (9): 38973905.

[6]Yeh S S, Sun J T. Friction modeling and compensation for feed drive motions of CNC milling machines [J]. Journal of the Chinese Society of Mechanical Engineers, 2012, 33 (1): 3349.

[7]Yeh S S, Tsai Z H, Hsu P L. Applications of integrated motion controllers for precise CNC machines [J]. The International Journal of Advanced Manufacturing Technology, 2009, 44 (9): 906920.

[8]Huang S N, Tan K K. Intelligent friction modeling and compensation using neural network approximations [J]. IEEE Transactions on Industrial Electronics, 2012, 59(8): 33423349.

[9]刘栋,梅雪松,张东升. 基于多采样率控制的伺服系统摩擦补偿研究[J]. 中国电机工程学报, 2011, 31(24): 111117.

LIU Dong, MEI Xuesong, ZHANG Dongsheng. Friction compensator based on mutirate control in servo drives system [J]. Proceedings of the Chinese Society for Electrical Engineering, 2011, 31(24): 111117.

[10]梁速,赵万生,康小明. 基于Linux的五轴联动电火花加工数控系统[J]. 上海交通大学学报, 2012, 46 (7): 10971102.

LIANG Su, ZHAO Wansheng, KANG Xiaoming. Development of a fiveaxis CNC system for electrodischarge machining based on Linux [J]. Journal of Shanghai Jiaotong University, 2012, 46 (7): 10971102.
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