Prestiction friction compensation in direct-drive mechatronics systems

被引:6
|
作者
Li Zhi-qiang [1 ]
Zhou Qing-kun [1 ]
Zhang Zhi-yong [1 ]
Zhang Lian-chao [1 ]
Fan Da-peng [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
prestiction friction; LuGre model; multilevel coordinate search; friction compensation; inertially stabilization platforms; MODEL; SIMULATION;
D O I
10.1007/s11771-013-1826-y
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
LuGre model has been widely used in friction modeling and compensation. However, the new friction regime, named prestiction regime, cannot be accurately characterized by LuGre model in the latest research. With the extensive experimental observations of friction behaviors in the prestiction, some variables were abstracted to depict the rules in the prestiction regime. Based upon the knowledge of friction modeling, a novel friction model including the presliding regime, the gross sliding regime and the prestiction regime was then presented to overcome the shortcomings of the LuGre model. The reason that LuGre model cannot estimate the prestiction friction was analyzed in theory. Feasibility analysis of the proposed model in modeling the prestiction friction was also addressed. A parameter identification method for the proposed model based on multilevel coordinate search algorithm was presented. The proposed friction compensation strategy was composed of a nonlinear friction observer and a feedforward mechanism. The friction observer was designed to estimate the friction force in the presliding and the gross sliding regimes. And the friction force was estimated based on the model in the prestiction regime. The comparative trajectory tracking experiments were conducted on a simulator of inertially stabilization platforms among three control schemes: the single proportional-derivative (PD) control, the PD with LuGre model-based compensation and the PD with compensator based on the presented model. The experimental results reveal that the control scheme based on the proposed model has the best tracking performance. It reduces the peak-to-peak value (PPV) of tracking error to 0.2 mrad, which is improved almost 50% compared with the PD with LuGre model-based compensation. Compared to the single PD control, it reduces the PPV of error by 66.7%.
引用
收藏
页码:3031 / 3041
页数:11
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