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题名Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model
作者
发表日期2022-08-01
发表期刊Control Engineering Practice
ISSN/eISSN0967-0661
卷号125
摘要

The force tracking performance of controllers is seriously degraded by the complex friction behaviors when the electrohydraulic system applies low load. The existing LuGre model is employed in the motion control system with the known trajectory. In this work, a modified LuGre model combined with a zero-velocity crossing window is established to address the lag issue and model oscillation in force control system. Then, the Stribeck curve in the friction model is accurately obtained using a fast measurement method, and the impact of friction parameters on the accuracy of the LuGre model is analyzed. Next, an adaptive friction compensation control scheme is proposed for the electrohydraulic system with low load using the modified LuGre model to compensate for dynamic friction behavior and improve the force tracking performance. The uncertain friction parameters are tuned online to reduce the force error of the low-velocity region via the derived adaptive law and a dual-observer. The disturbance observer is effectively integrated to reduce the negative influence of unconsidered dynamics. Finally, comparative experiments are conducted to verify the effectiveness of the proposed controller in static and dynamic loading modes.

关键词Electrohydraulic system Force tracking Friction compensation LuGre model
DOI10.1016/j.conengprac.2022.105213
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收录类别SCIE
语种英语English
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000830262700005
Scopus入藏号2-s2.0-85133939419
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9807
专题理工科技学院
通讯作者Zhu, Zhencai; Shen, Gang
作者单位
1.School of Mechatronic Engineering,China University of Mining and Technology,Xuzhou,221116,China
2.Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment,China University of Mining and Technology,Xuzhou,21116,China
3.Institute of Artificial Intelligence and Future Networks,Beijing Normal University,Zhuhai,519087,China
4.Guangdong Key laboratory for Artificial Intelligence and Multi-Modal Data Processing,Beijing Normal University-Hong Kong Baptist University United International College (UIC),Zhuhai,519087,China
推荐引用方式
GB/T 7714
Dai, Kaiyu,Zhu, Zhencai,Shen, Ganget al. Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model[J]. Control Engineering Practice, 2022, 125.
APA Dai, Kaiyu., Zhu, Zhencai., Shen, Gang., Tang, Yu., Li, Xiang., .. & Wang, Qingguo. (2022). Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model. Control Engineering Practice, 125.
MLA Dai, Kaiyu,et al."Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model". Control Engineering Practice 125(2022).
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