Intelligent motion control by 5G, edge computing, and digital-physical twins

Intorduction:

The title of this project is quite broad which embraces 4 master thesis projects. The projects will run in collaboration with our partner ABB in Sweden.

The task is to develop and validate 5G based intelligent motion (i.e., motors and drives) control which is recognized as one of the most challenging use cases for 5G in industrial automation due to the required low latency, high reliability, and critical safety. ABB has already an established testbed based on cutting-edge PLC, drive, motor, 5G, and edge computing equipment with basic control applications. The new master projects with elevate this testbed to the next level.

Research topics:
What are the performances and limitations of motion control over 5G and edge computing, and how to improve?
Goals:
1. Demonstrator of more advanced control applications on the established testbed.
2. Proposal of improvements by novel features and methods
3. Verification of the proposed improvements

Each master project will address one of the four areas:
▪ Explore advanced features of 5G, e.g., wireless redundancy, QoS, scheduling, OPC UA, etc.
▪ Explore real-time virtualization
▪ Explore wireless/edge-aware intelligent control model and algorithms
▪ Explore novel networked control architecture, e.g., event-driven, MPC, digital-physical twins

Required background:
Shared requirements for all 4 projects are:
▪ Strong interests in learning practical skills
▪ Skilled in one of relevant coding languages, e.g., C/C++, Python, Matlab, IEC61131-3
▪ Good problem solving and self-driven

Practical arrangement:
▪ The student will stay 6 months in ABB office and the rest in Norway
▪ Place: ABB CRC (Västerås, Sweden), fully on-site
▪ ABB will cover accommodation in Västerås 

 

Publisert 25. okt. 2021 17:20 - Sist endret 25. okt. 2021 17:23

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