TY - JOUR
T1 - Modular design method for filament winding machine
AU - Xu, Xiaoming
AU - Zhang, Wuxiang
AU - Ding, Xilun
N1 - Publisher Copyright:
© 2018, Editorial Board of JBUAA. All right reserved.
PY - 2018/4
Y1 - 2018/4
N2 - Winding machine is the core equipment for filament winding with the features of high production efficiency and stable product quality. To meet the requirements of customized and small batch production, the modular design method (MDM) is proposed to expand the function of winding machine. The system structure is analyzed, relation matrices between components are established, and the grouping genetic algorithm (GGA) is then employed to conduct modular optimization to cluster components into standard modules. Multi-objective optimization method based on non-dominated sorting genetic algorithm II (NSGA-II) is proposed to create a complete system by combining instances with consideration of performance and cost simultaneously. The modular design method for the control system is presented based on distributed network controller for a bus system, and the network interface of the controller is standardized as independent function module, and then the rapid configuration of the controller is achieved according to the modular configuration of the mechanical structure. The k-nearest neighbor (kNN) method is used to classify the control mode by detecting the connection state of the module and the dynamic reconfiguration method based on component object model (COM) component to realize the state transition sequence and data exchange of the modules. The research on the modularization of mechanical structure, controller and software can realize the rapid reconfiguration of the winding machine, and expand the function of the winding machine.
AB - Winding machine is the core equipment for filament winding with the features of high production efficiency and stable product quality. To meet the requirements of customized and small batch production, the modular design method (MDM) is proposed to expand the function of winding machine. The system structure is analyzed, relation matrices between components are established, and the grouping genetic algorithm (GGA) is then employed to conduct modular optimization to cluster components into standard modules. Multi-objective optimization method based on non-dominated sorting genetic algorithm II (NSGA-II) is proposed to create a complete system by combining instances with consideration of performance and cost simultaneously. The modular design method for the control system is presented based on distributed network controller for a bus system, and the network interface of the controller is standardized as independent function module, and then the rapid configuration of the controller is achieved according to the modular configuration of the mechanical structure. The k-nearest neighbor (kNN) method is used to classify the control mode by detecting the connection state of the module and the dynamic reconfiguration method based on component object model (COM) component to realize the state transition sequence and data exchange of the modules. The research on the modularization of mechanical structure, controller and software can realize the rapid reconfiguration of the winding machine, and expand the function of the winding machine.
KW - Component object model (COM) technology
KW - Distributed control
KW - Filament winding machine
KW - Modular method
KW - Multi-objective optimization
UR - https://www.scopus.com/pages/publications/85047649508
U2 - 10.13700/j.bh.1001-5965.2017.0233
DO - 10.13700/j.bh.1001-5965.2017.0233
M3 - 文章
AN - SCOPUS:85047649508
SN - 1001-5965
VL - 44
SP - 746
EP - 758
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 4
ER -