基于Modelica的数控机床多领域建模与虚拟调试
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摘要
为解决数控机床的机电耦合多领域统一建模问题,文章在综合比较分析现有的多领域建模方法的基础上,采用多领域统一建模语言Modelica建立了数控机床的多领域数字模型,并以此阐述了多领域模型的构建方法和实现过程。基于此模型,在MWorks平台下,设计了机床模拟控制器与模型的实时通信机制,实现了机床模拟控制器和模型之间的信息交互,实现了对模型虚拟调试功能的支持。通过伺服电机PI调节的实例,验证了模型对虚拟调试的支持能力从而证明了文章所构建的模型的有效性。模型的虚拟调试可降低机床调试的危险性,缩短机床调试的周期,对机床实机调试具有指导意义。
To solve the problem of electromechanical coupling and multi-domain unified modeling of CNC machine tools,this paper established a multi-domain digital model of CNC machine tools using the multidomain unified modeling language Modelica based on the comprehensive comparison and analysis of existing multi-domain modeling methods. Besides,the design method and implementation process of multi-domain model were expounded. Based on this model,the real-time communication mechanism between the machine simulation controller and the model was designed under the MWorks platform. With this communication mechanism,information exchange between the machine simulation controller and the model was realized,and the virtual debugging function was developed. The support ability of model to virtual debugging was proved by an example of PI commissioning of servo motor,which proved the validity of the model.With virtual debugging of the model,the risk of machine debugging was reduced and the cycle of machine debugging was shortened. It can guide the debugging of machine tools.
To solve the problem of electromechanical coupling and multi-domain unified modeling of CNC machine tools,this paper established a multi-domain digital model of CNC machine tools using the multidomain unified modeling language Modelica based on the comprehensive comparison and analysis of existing multi-domain modeling methods. Besides,the design method and implementation process of multi-domain model were expounded. Based on this model,the real-time communication mechanism between the machine simulation controller and the model was designed under the MWorks platform. With this communication mechanism,information exchange between the machine simulation controller and the model was realized,and the virtual debugging function was developed. The support ability of model to virtual debugging was proved by an example of PI commissioning of servo motor,which proved the validity of the model.With virtual debugging of the model,the risk of machine debugging was reduced and the cycle of machine debugging was shortened. It can guide the debugging of machine tools.
引文
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[16]李波.空间矢量脉宽调制的仿真研究及其实现[J].电机与控制应用. 2006,33(6):40-43.
[2]Jazdi N. Cyber Physical Systems in the Context of Industry4. 0[C]. IEEE International Conference on Automation,2014:1-4.
[3] F Shrouf,J Ordieres G Miragliotta. Smart Factories in Industry 4. 0:A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm[J]. Proceedings of 2014 IEEE IEEM,2015:697-701.
[4]Tuegel E J,Ingraffea A R,Eason T G,et al. Reengineering Aircraft Structural Life Prediction Using a Digital Twin[J].International Journal of Aerospace Engineering,2011:1-14.
[5]E H Glaessgen,D S Stargel. The Digital Twin Paradigm for Future NASA and U. S. Air Force Vehicles[C]. Structures,Structural Dynamics&Materials Conference,2012:1-14.
[6]Chen J,Yang J,Zhou H,et al. CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach[J]. Engineering,2015,1(2):247-260.
[7]T Brezina,Z Hadas,J Vetiska. Using of Co-simulation ADAMS-SIMULINK for Development of Mechatronic Systems[J]. Mechatronika,International Symposium,2011:59-64.
[8]陈晓波.基于HLA的多领域建模研究[J].系统仿真学报,2003,15(11):1537-1542.
[9]Hirano Y. Application of Modelica to Development of Future New-concept Vehicles[J]. IFAC Proceedings Volumes.2013,46(21):428-433.
[10]WD Steinmann,J Buschle. Analysis of thermal storage systems using Modelica[C]. DLR,2005:331-337.
[11] Herfs W,9zdemir D,Lohse W,et al. Design of Feed Drives with Object-Oriented Behavior Models[J]. IFACPapers On Line,2015,48(1):268-273.
[12]赵建军,丁建完,周凡利,等. Modelica语言及其多领域统一建模与仿真机理[J].系统仿真学报,2006,18(S2):570-573.
[13]王波兴,李鹏杰.基于Modelica的数控伺服系统模糊PID控制与仿真[J].系统仿真学报,2013,25(12):2924-2929.
[14]丁建完,梅再武,张学明.超低速PMSM系统的Modelica建模及控制参数整定[J].电气传动,2013,43(4):3-7.
[15]袁雷.现代永磁同步电机控制原理及MATLAB仿真[M].北京:北京航空航天大学出版社,2016.
[16]李波.空间矢量脉宽调制的仿真研究及其实现[J].电机与控制应用. 2006,33(6):40-43.