Secure Cloud Manufacturing
The long-term goal of this research project is to develop methods and techniques to make large-scale manufacturing systems safer, more secure, and more productive, enabling them to produce high-quality products for consumers at modest cost.
This project utilizes a small manufacturing system that consists of three industrial robots, four machine tools, and two conveyors, with an integrated industrial control system (from Rockwell Automation) connected by Ethernet/IP. The testbed is instrumented with presence sensors, inspection cameras, an interactive HMI display, and a computer for synchronization of real-time and historical data to a cloud platform. The research goals around the testbed include: control development and validation, learning control, agent-based control, optimizing scheduling, reconfigurable control, cloud-based manufacturing, security of cyber-physical systems, etc. One key enabler for the research program is having simulation models of the different system components that can be validated off-line, or in a hardware-in-the-loop framework. Another key enabler is the hosting of testbed-generated data in a deployed cloud environment to enable real-time cloud analytics, predictive maintenance, and remote system monitoring.
We also support activities with pre-college students to promote education in science and technology.
Meeting time and location
A best time will be finalized once students are identified. In Fall 2019 the team met Tuesdays at 12 noon – 1 pm in GG Brown. Each subteam arranges a convenient time to meet and work together.
This team has three subteams: Controls and Automation, Cloud and Cyber Security and Modeling and Simulation. Each of three subteams has a team leader that reports to and meets with the faculty PI and graduate supervisors. The teams are flexibly structured to enhance creativity and opportunity for student growth.