目前 PC 生产线模具转运、存放比较原始,大部分的方式都是采用一个容器工装或者托盘进行存放,对于机械手用 的模具库也是同样的方式。需要辅助大量的人力及设备,才能将模具进行规整、存放、循环使用,无法进行自动循环及存放, 本文结合...目前 PC 生产线模具转运、存放比较原始,大部分的方式都是采用一个容器工装或者托盘进行存放,对于机械手用 的模具库也是同样的方式。需要辅助大量的人力及设备,才能将模具进行规整、存放、循环使用,无法进行自动循环及存放, 本文结合设备开发的经验,论述了 PC 行业机械手模具库的研究和发展方向,为行业的发展探索一个合适的路径。展开更多
Underwater vehicles have already adopted self-correcting directional guidance algorithms based on multi-beam self-guidance systems, not waiting for research to determine the most effective algorithms. The main challen...Underwater vehicles have already adopted self-correcting directional guidance algorithms based on multi-beam self-guidance systems, not waiting for research to determine the most effective algorithms. The main challenges facing research on these guidance systems have been effective modeling of the guidance algorithm and a means to analyze the simulation results. A simulation structure based on Simulink that dealt with both issues was proposed. Initially, a mathematical model of relative motion between the vehicle and the target was developed, which was then encapsulated as a subsystem. Next, steps for constructing a model of the self-correcting guidance algorithm based on the Stateflow module were examined in detail. Finally, a 3-D model of the vehicle and target was created in VRML, and by processing mathematical results, the model was shown moving in a visual environment. This process gives more intuitive results for analyzing the simulation. The results showed that the simulation structure performs well. The simulation program heavily used modularization and encapsulation, so has broad applicability to simulations of other dynamic systems.展开更多
文摘目前 PC 生产线模具转运、存放比较原始,大部分的方式都是采用一个容器工装或者托盘进行存放,对于机械手用 的模具库也是同样的方式。需要辅助大量的人力及设备,才能将模具进行规整、存放、循环使用,无法进行自动循环及存放, 本文结合设备开发的经验,论述了 PC 行业机械手模具库的研究和发展方向,为行业的发展探索一个合适的路径。
文摘Underwater vehicles have already adopted self-correcting directional guidance algorithms based on multi-beam self-guidance systems, not waiting for research to determine the most effective algorithms. The main challenges facing research on these guidance systems have been effective modeling of the guidance algorithm and a means to analyze the simulation results. A simulation structure based on Simulink that dealt with both issues was proposed. Initially, a mathematical model of relative motion between the vehicle and the target was developed, which was then encapsulated as a subsystem. Next, steps for constructing a model of the self-correcting guidance algorithm based on the Stateflow module were examined in detail. Finally, a 3-D model of the vehicle and target was created in VRML, and by processing mathematical results, the model was shown moving in a visual environment. This process gives more intuitive results for analyzing the simulation. The results showed that the simulation structure performs well. The simulation program heavily used modularization and encapsulation, so has broad applicability to simulations of other dynamic systems.
