Advanced Control Of Electronic Systems
2025/2026
Content, progress and pedagogy of the module
The module is based on knowledge achieved from studying the 2nd semester at the Master of Science in Advance Power Electronics, including the courses in Non-linear Control and Reliability and System Identification and Diagnosis.
Learning objectives
Knowledge
- Have knowledge about the components and control strategies for electronic systems including machine learning models.
- Have knowledge on the principles of system identification to identify models of dynamic systems from experimental data and knowledge on how to use system identification techniques to design control systems.
- Have knowledge about advanced closed-loop control solutions, for instance model predictive control (MPC), shallow and deep neural networks, or other machine learning algorithms.
- Have insight in how to apply reliable electronics and control algorithms for reliable operational performance.
Skills
- Be able to independently define and analyse scientific problems within the project theme, to propose and develop solutions for the present problem and to evaluate these solutions.
- Be able to design a complete embedded system operating with industrial electronics or design a learning control system for industrial settings.
- 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 or machine learning frameworks to design end-to-end systems.
- Be able to implement hardware applications related to industrial electronics or integrate deep neural networks in a control system.
- Be able to design control systems for robotic manipulators, mobile robots, autonomous underwater vehicles (AUV), unmanned aerial vehicles (UAV) or other automated systems.
- Have an innovative and entrepreneurial behaviour giving value for the developed system/apparatus.
Competences
- Be able to manage the problem based work and development process within the project theme, and to communicate scientific results in a professional manner
- Be able to show entrepreneurship and develop innovative ideas within the topic of complex control systems for industrial electronics
- Independently be able to continue own development in competence and specialisation
- Be able to follow state-of-the-art scientific literature within the project theme
Type of instruction
Problem based project organised project work in groups.
Problem based project organised work in groups. The students focus on proficient project leadership and management when finding their technical solution. The project can be made in cooperation with external partners and the project can be a disciplinary project, a cross- disciplinary project or part of a multi-disciplinary project, where several groups from one or more departments work with different parts of a larger project.
The project must include an application that includes a power electronic converter, a power source and embedded system or be based on an automated system such as a mobile robot, UAV, AUV or similar. 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 machine learning algorithms such as shallow, deep neural networks, or other types of artificial intelligence are designed to control the system and evaluated on basis 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.Project work including supervision may be supplemented with lectures, workshops, presentation seminars, consultant meetings regarding PBL content, laboratory tests, etc.
The project work is documented in a project report with maximum extend according to §19.
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 Of Electronic Systems |
| Type of exam | Oral exam based on a project |
| ECTS | 20 |
| Permitted aids | With certain aids:
For more information about permitted aids, please visit the course
description in Moodle. |
| 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 |
Facts about the module
| Danish title | Avanceret styring af elektroniske systemer |
| Module code | 25E-APEL3-1 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Autumn
|
| ECTS | 20 |
| Language of instruction | English |
| Empty-place Scheme | Yes |
| Location of the lecture | Campus Esbjerg |
| Responsible for the module | |
| Used in | |
Organisation
| Education owner | Master of Science (MSc) in Engineering (Advanced Power Electronics) |
| Study Board | Study Board of Build, Energy, Electronics and Mechanics in Esbjerg |
| Department | Department of Energy |
| Faculty | The Faculty of Engineering and Science |
