The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complic...The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complicated, neither unified task decomposition and allocation methodology nor Agent-based network management platform can satisfy the increasing demands. In this paper, to meet requirements of PCD for distributed product development, a collaborative design mechanism based on the thought of modularity and the Agent technology is presented. First, the top-down 4-tier process model based on task-oriented modular and Agent is constructed for PCD after analyzing the mapping relationships between requirements and functions in the collaborative design. Second, on basis of sub-task decomposition for PCD based on a mixed method, the mathematic model of task-oriented modular based on multi-objective optimization is established to maximize the module cohesion degree and minimize the module coupling degree, while considering the module executable degree as a restriction. The mathematic model is optimized and simulated by the modified PSO, and the decomposed modules are obtained. Finally, the Agent structure model for collaborative design is put forward, and the optimism matching Agents are selected by using similarity algorithm to implement different task-modules by the integrated reasoning and decision-making mechanism with the behavioral model of collaborative design Agents. With the results of experimental studies for automobile collaborative design, the feasibility and efficiency of this methodology of task-oriented modular and Agent-based collaborative design in the distributed heterogeneous environment are verified. On this basis, an integrative automobile collaborative R＆D platform is developed. This research provides an effective platform for automobile manufacturing enterprises to achieve PCD, and helps to promote product numeralization collaborative R＆D and management development.展开更多
为解决复杂工况下分布式驱动电车(Distributed Drive Electric Vehicle,DDEV)的驱动防滑问题,基于模块化提出了一种多智能体分布式协同控制策略。首先,采用模块化的方法搭建了整车结构,将各轮毂电机车轮和控制器整体视为一个智能体,根...为解决复杂工况下分布式驱动电车(Distributed Drive Electric Vehicle,DDEV)的驱动防滑问题,基于模块化提出了一种多智能体分布式协同控制策略。首先,采用模块化的方法搭建了整车结构,将各轮毂电机车轮和控制器整体视为一个智能体,根据车轮运动学和整车运动学建立智能体的滑转率模型;然后,设计了基于多智能体的分布式模型预测控制策略,以多约束条件下的协同优化为目标函数,实现驱动防滑,在解决驱动力不足问题的同时,达到了低能耗和舒适性;最后,利用Simulink软件和CarSim软件进行仿真实验,实验结果证明了所提控制策略的有效性,为分布式驱动的进一步应用提供了新的控制方法。展开更多
基金Supported by National Science and Technology Major Project of China(Grant No.2009ZX04014-103)PhD Programs Foundation of Ministry of Education of China(Grant No.20100072110038)+1 种基金National Natural Science Foundation of China(Grant Nos.61075064,61034004,61005090)Program for New Century Excellent Talents in University of Ministry of Education of China(Grant No.NECT-10-0633)
文摘The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complicated, neither unified task decomposition and allocation methodology nor Agent-based network management platform can satisfy the increasing demands. In this paper, to meet requirements of PCD for distributed product development, a collaborative design mechanism based on the thought of modularity and the Agent technology is presented. First, the top-down 4-tier process model based on task-oriented modular and Agent is constructed for PCD after analyzing the mapping relationships between requirements and functions in the collaborative design. Second, on basis of sub-task decomposition for PCD based on a mixed method, the mathematic model of task-oriented modular based on multi-objective optimization is established to maximize the module cohesion degree and minimize the module coupling degree, while considering the module executable degree as a restriction. The mathematic model is optimized and simulated by the modified PSO, and the decomposed modules are obtained. Finally, the Agent structure model for collaborative design is put forward, and the optimism matching Agents are selected by using similarity algorithm to implement different task-modules by the integrated reasoning and decision-making mechanism with the behavioral model of collaborative design Agents. With the results of experimental studies for automobile collaborative design, the feasibility and efficiency of this methodology of task-oriented modular and Agent-based collaborative design in the distributed heterogeneous environment are verified. On this basis, an integrative automobile collaborative R＆D platform is developed. This research provides an effective platform for automobile manufacturing enterprises to achieve PCD, and helps to promote product numeralization collaborative R＆D and management development.
文摘为解决复杂工况下分布式驱动电车(Distributed Drive Electric Vehicle,DDEV)的驱动防滑问题,基于模块化提出了一种多智能体分布式协同控制策略。首先,采用模块化的方法搭建了整车结构,将各轮毂电机车轮和控制器整体视为一个智能体,根据车轮运动学和整车运动学建立智能体的滑转率模型;然后,设计了基于多智能体的分布式模型预测控制策略,以多约束条件下的协同优化为目标函数,实现驱动防滑,在解决驱动力不足问题的同时,达到了低能耗和舒适性;最后,利用Simulink软件和CarSim软件进行仿真实验,实验结果证明了所提控制策略的有效性,为分布式驱动的进一步应用提供了新的控制方法。
