Smart manufacturing aims to overcome the limitations of today's rigid assembly lines by making the material flow and manufacturing process more flexible, versatile, and scalable. The main economic drivers are higher resource and cost efficiency as the manufacturers can more quickly adapt to changing market needs and also increase the lifespan of their production sites. The ability to close feedback loops fast and reliably over long distances among mobile robots, remote sensors, and human operators is a key enabler for smart manufacturing. Thus, this article provides a perspective on control and coordination over wireless networks. Based on an analysis of real-world use cases, we identify the main technical challenges that need to be solved to close the large gap between the current state of the art in industry and the vision of smart manufacturing. We discuss to what extent existing control-over-wireless solutions in the literature address those challenges, including our own approach toward a tight integration of control and wireless communication. In addition to a theoretical analysis of closed-loop stability, practical experiments on a cyber-physical testbed demonstrate that our approach supports relevant smart manufacturing scenarios. The article concludes with a discussion of open challenges and future research directions.
翻译:智能制造旨在克服当今僵硬组装线的局限性,使材料流动和制造过程更加灵活、多功能和可扩展。主要的经济驱动因素是资源和成本效益更高,因为制造商能够更快地适应不断变化的市场需求,并提高其生产地点的寿命。在移动机器人、远程传感器和人类操作者之间的长距离上迅速和可靠地切断反馈回路是智能制造的关键促进因素。因此,本篇文章提供了对无线网络控制和协调的视角。根据对现实世界使用案例的分析,我们确定了需要解决的主要技术挑战,以弥合工业中艺术现状与智能制造愿景之间的巨大差距。我们讨论了文献中现有的控制过度的解决办法应对这些挑战的程度,包括我们自己实现控制和无线通信紧密整合的方法。除了对闭路稳定进行理论分析外,在网络物理测试台进行的实际实验表明我们的方法支持相关的智能制造情景。文章最后讨论了公开的挑战和未来研究方向。