Virtual-physical interaction control method for intelligent cantilever roadheader driven by digital twin
WANG Yan
KOU Haonan
ZHANG Xuhui
WEI Shirui
YANG Zhiwei
ZHAO Youjun
Abstract:In response to the dual requirements of real-time responsiveness and operational reli-ability for intelligent control in coal mine rapid tunneling systems,this paper proposed a digital twin-driven virtual-physical interaction control method that integrates the high-precision deci-sion-making capability of virtual models with the rapid-response advantage of physical control mechanisms,establishing intelligent collaborative control between the tunneling physical enti-ty and its digital twin counterpart.First,a hierarchical virtual-physical interactive control framework was constructed,consisting of physical equipment layer,virtual model layer,func-tional service layer,and data information layer,achieving complete cross-domain data interac-tion links.Subsequently,a multi-agent collaborative decision-making model was proposed,comprising cutting pose perception agent,shaping quality evaluation agent,and control opti-mization agent,which realized cross-domain knowledge sharing and optimized decisions through collaborative mechanisms.Based on the transmission process analysis of virtual-physi-cal interactive control states,a fusion control execution logic integrating physical and virtual control decisions was developed.Through steps including"state alignment","evolution pre-diction",and"command fusion",the impact of interactive time delay on control decision-mak-ing is effectively reduced.Finally,the effectiveness of the proposed method was validated through the construction of an experimental system platform.
Keywords:intelligent tunnelingdigital twinvirtual-physical interactionmulti-agentfusion control logic
Publication Date:2025-03-30
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:13( 330-342 )
Journal of China University of Mining & Technology

Journal of China University of Mining & Technology

ISTICPKUEICSCD
ISSN:1000-1964
Year, Vol.(Issue):2025,54(2)