Li MA, Jing-ping WANG, Feng-tian LI, et al. Friction modeling and compensation of precision position system[J]. Optics and precision engineering, 2019, 27(1): 121-128.
DOI:
Li MA, Jing-ping WANG, Feng-tian LI, et al. Friction modeling and compensation of precision position system[J]. Optics and precision engineering, 2019, 27(1): 121-128. DOI: 10.3788/OPE.20192701.0121.
Friction modeling and compensation of precision position system
To improve the positioning accuracy of a precise positioning system driven by a linear motor
the optimized Stribeck friction model was established that compensates for the main factors affecting the positioning accuracy of friction. First
the traditional Stribeck friction model was optimized. Second
the improved least square algorithm was used to identify the model parameters. Third
the friction model compensation algorithm was simulated and compared with the disturbance observer compensation algorithm. It is found that the speed of the former is 4.33% higher than that of the latter
and the friction compensation has a better compensation effect. Finally
the experiment was carried out on a two-dimensional precision positioning platform with large stroke according to the maximum speed of the platform; low and high speeds were defined as 0.005 and 0.05 m/s
respectively. Experiments were performed at these two speeds and compared with the Coulomb friction feed forward compensation model. The experimental results indicate that for the precision positioning platform at a low speed of 0.005 m/s
the proposed model tracking error is reduced by 67.67%; for a high-speed movement of 0.05 m/s
the proposed model tracking error is reduced by 51.63%
which verifies the validity of the improved Stribeck friction model compensation algorithm. The improved Stribeck friction model proposed in this paper can be used to improve the positioning accuracy of a precision positioning system driven by a linear motor.
关键词
Keywords
references
AHN H S, CHEN Y Q. State-dependent friction force compensation using periodic adaptive learning control[J]. Mechatronics , 2009, 19 (6): 896-904.
ASTROM K J, CANUDAS-DE-WIT C. Revisiting the LuGre friction model stick-slip motion and rate dependence[J]. IEEE Control Systems Magazine , 2008, 28(6): 101-114.
PENNESTR E, ROSSI V, SALVINI P, et al .. Review and comparison of dry friction force models[J]. Nonlinear Dynamics , 2015, 83(4): 1785-1801.
WANG Y ZH, GUO CH, JIA SH W, et al.. Stability analysis of disc friction pairs based on Stribeck model[J]. China Mechanical Engineering , 2017, 28(21): 2521-2525. (in Chinese)
CONG S, DENG K, SHANG W, et al .. Isolation control for inertially stabilized platform based on nonlinear friction compensation[J]. Nonlinear Dynamics , 2015, 84(3): 1123-1133.
CHEN H, MENG J, AN Q. Friction characterization and friction model of a linear-moter rolling-guide stage[J]. Journal of East China University of Science and Technology:Natural Science Edition , 2017, 43(4): 571-577. (in Chinese)
KATO H. Characteristic analysis on an extended dahl model for planar two-dimensional motion[J]. Journal of the Japan Society for Precision Engineering , 2017, 83(6):607-612.
YU W, MA J G, LI J Y, et al.. Friction parameter identification and friction compensation for precision servo turning table[J]. Opt. Precision Eng. , 2011, 19(11): 2736-2743. (in Chinese)
JIN CH Q, ZHANG B, LI X T, et al.. Friction compensation of aerial photoelectrical stabilized platform based on the LuGre model[J]. Science Technology and Engineering , 2016, 16(30): 103-107. (in Chinese)
GUO P F, DENG Y T, WANG SH, et al.. Backstepping sliding mode control of large telescope based on friction model[J]. Opt. Precision Eng. , 2017, 25(10): 2620-2626. (in Chinese)
YEH S S, SU H C. Development of friction identification methods for feed drives of CNC machine tools[J]. The International Journal of Advanced Manufacturing Technology , 2010, 52(1): 263-278.
JIANG ZH H, XU S CH, GU D W, et al.. Research on friction compensation based on interval analysis[J]. Opt. Precision Eng. , 2017, 25(6):1519-1525. (in Chinese)
ZENG D L, XIAO K, LIN ZH CH, et al.. Sub-step identification of LuGre friction parameters of inertially stabilized platform for airborne remote sensing[J]. Opt. Precision Eng. , 2016, 24(5):1148-1158. (in Chinese)