Recommended prerequisite for participation in the module

The module is based on knowledge achieved from the courses in Non-linear Control and Reliability and System Identification and Diagnosis.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge about the electronics in industrial processes
• Be able to identify, model and control uncertain and varying industrial processes
• Have knowledge about the methodology used for applying industrial electronics
• Have insight in how to apply reliable electronics to keeping reliable operational performance
• Be able to implement industrial electronics for advanced closed-loop control solutions, for instance model predictive control (MPC) and artificial intelligence

Skills

• Be able to design a complete embedded system operating with industrial electronics
• Be able to design hardware and software which successfully can stabilize complicated processes during uncertain and varying conditions applying artificial intelligence
• Be able to design efficient controllers for disturbance rejections
• Be able to implement hardware applications related to industrial electronics
• Be able to synthesize, document and bring entire systems (hardware and software) to working condition, when the operating conditions are uncertain

Competences

• Be able to design industrial electronics based on the design specifications
• Independently identify and analyse complicated industrial processes
• Independently understand the concepts of predictive and adaptive control strategies and artificial intelligence application for industrial processes
• Be able to implement and test the developed controllers with the purpose of verifying the hypothesis, as well as draw conclusions based on the achieved result

Type of instruction

Problem based project oriented project work in groups. The project work can be done while the student is taking a project oriented study in an external organisation or as a student project work at Aalborg University.

The project must include an application that includes a power electronic converter, a power source and embedded system. The operating principles for the system must be described and a control problem is formulated including key specifications. A dynamic simulation model is made taking the relevant dynamics into account. Different advanced control methods like predictive, adaptive, and robust control strategies  or use of artificial intelligence are designed, analysed and evaluated by means of the simulation model. At least one method is selected for practical implementation in a real system incorporating hardware and software and a real‐time digital advanced control system based on a digital signal processor or a microcontroller.  Finally, the whole system is tested and the developed control strategies are evaluated with the purpose of verifying the hypothesis, as well as drawing conclusions based on the achieved result.

Extent and expected workload

Since it is a 20 ECTS project module, the work load is expected to be 600 hours for the student.

Exam

Exams

Name of exam	Advanced Control in Industrial Electronics
Type of exam	Oral exam based on a project Oral examination with internal adjudicator based on a project work documented by a scientific paper (max. 8 pages), accompanied by a project summary report. The project summary report should elaborate the project details and conclusions. The maximum length of the project summary report (report without appendices) is 50 pages, and in addition the project summary report should follow the rules as laid down by the Study Board in “Procedure for Project Work”, i.e. the total number of pages must not exceed 30 + 15 × number of students in the project group.
ECTS	20
Assessment	7-point grading scale
Type of grading	Internal examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures