Active Fault-Tolerant Control: Theory and Applications (2024)

Organiser: Associate Professor Zhenyu Yang, AAU Energy

Lecturers: Professor Roozbeh Izadi-Zamanabadi, Dept of Electronics Systems, AAU and Associate Professor Zhenyu Yang, AAU Energy, AAU

ECTS: 4.0

Date: week 20, 13 May – 17 May 2024

Place: Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700 Esbjerg

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT. A link for the payment by credit card will be announced efter deadline for registration.

Deadline: 22 April 2024

Format: hybrid (online & in person)

Max no. of participants: 30

As a part-time Professor at AAU, Dr. Izadi-Zamanabadi is also a Lead Control Expert at Danfoss A/S. He has over 30 years research and development experiences on FDD and FTC, as well as applications of advanced FDD and FTC in diverse industrial systems.

Dr. Yang has over 30 years research and development experiences in the FDD and FTC areas, including both traditional model-based methods and data-driven learning methods.

Description: A Fault Tolerant Control (FTC) system is referred to a controlled system that poses the capability to accommodate system component faults/failures automatically and is capable of maintaining overall system stability and acceptable performance in the event of such faults. An active FTC approach often consists of two integrated online functionalities, i.e., Fault Detection and Diagnosis (FDD) and Control Reconfiguration (CR). The FTC plays an essential rule in safe-critical systems, which now cover a wide range of engineering systems, from aircrafts, airspace systems and nuclear reactors, to the recent emerging energy systems, such as smart grid systems, offshore wind farms etc. The ultimate objective of applying FTC techniques is to cost-effectively increase engineering system’s reliability, safety availability and maintainability. This course covered the fundamental essentials and some latest results in active FTC research area, along with diverse application case studies. The course daily plan consists of about 4-hour lectures and 2-hour exercises every day, such as;

  • Day 1: Introduction & State-estimation-based FDD 
  • Day 2: FMEA and Structual Analysis (SA) method
  • Day 3: Data-driven modeling and FTC methods 
  • Day 4: Unknown input observer & Machine-learning based FDD methods 
  • Day 5: Advanced FTC design & applications 

Prerequisites: The participants need to have the fundamental knowledge about classical control theory (transfer-function based) and modern control theory (state-space based).

Find more information about the course here

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.