Welcome to Active Fault-Tolerant Control: Theory and Applications
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. In general, the FTC capability can be possibly achieved through passive or active approaches. The passiv FTC is limited by the nominal control system’s robustness, while the active FTC approach often consists of two integrated online functionalities, i.e., Fault Detection and Diagnosis (FDD) and Control Reconfiguration (CR). Thereby, the active FTC is also regarded as a kind of intelligent control solution.
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.
The course covers the fundamental essentials and some latest results in FTC research area, along with diverse application case studies. The main content consists of: Historical and technical overview & terminology; FDD techniques (data-driven & model-based); CR techniques (model-matching & modelfollowing): Integration of FDD and CR: fundamental FDD/FTC property analysis and diverse case studies.
The course will be evaluated based on a mini-project after the course. This mini-project expects some illustration that the student can apply some techniques/knowledge learned from this course into their current PhD project.
Literatures:
Lecture notes/slides will be provided and the following two books are recommended:
Jie Chen and R. Patton, "Robust model-based fault diagnosis for dynamic Systems", Kluwer, Boston, 1999.
R. Isermann, "Fault-diagnosis systems: An introduction from fault detection to fault tolerant", Springer, 2006. ISBN 3-540-24112-4.
Prerequisites: Basic knowledge of control theory (incl. state-space methods)
Organizer: Associate Professor Zhenyu Yang, email: yang@et.aau.dk, Aalborg University
Lecturers: Associate Professor Zhenyu Yang, Aalborg University, Dr. Jie Chen, Brunel
University, UK
ECTS: 4
Time: 18- 22 March 2019
Place: Aalborg University, Esbjerg Campus, Niels Bohrs Vej 8
Zip code: 6700
City: Esbjerg
Number of seats: 30
Deadline: 25 February 2019
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 5,000 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 three 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.
Teacher: Zhenyu Yang
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. In general, the FTC capability can be possibly achieved through passive or active approaches. The passiv FTC is limited by the nominal control system’s robustness, while the active FTC approach often consists of two integrated online functionalities, i.e., Fault Detection and Diagnosis (FDD) and Control Reconfiguration (CR). Thereby, the active FTC is also regarded as a kind of intelligent control solution.
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.
The course covers the fundamental essentials and some latest results in FTC research area, along with diverse application case studies. The main content consists of: Historical and technical overview & terminology; FDD techniques (data-driven & model-based); CR techniques (model-matching & modelfollowing): Integration of FDD and CR: fundamental FDD/FTC property analysis and diverse case studies.
The course will be evaluated based on a mini-project after the course. This mini-project expects some illustration that the student can apply some techniques/knowledge learned from this course into their current PhD project.
Literatures:
Lecture notes/slides will be provided and the following two books are recommended:
Jie Chen and R. Patton, "Robust model-based fault diagnosis for dynamic Systems", Kluwer, Boston, 1999.
R. Isermann, "Fault-diagnosis systems: An introduction from fault detection to fault tolerant", Springer, 2006. ISBN 3-540-24112-4.
Prerequisites: Basic knowledge of control theory (incl. state-space methods)
Organizer: Associate Professor Zhenyu Yang, email: yang@et.aau.dk, Aalborg University
Lecturers: Associate Professor Zhenyu Yang, Aalborg University, Dr. Jie Chen, Brunel
University, UK
ECTS: 4
Time: 18- 22 March 2019
Place: Aalborg University, Esbjerg Campus, Niels Bohrs Vej 8
Zip code: 6700
City: Esbjerg
Number of seats: 30
Deadline: 25 February 2019
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 5,000 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 three 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.
Teacher: Zhenyu Yang
- Teacher: Zhenyu Yang