U of M College of Engineering Control Seminar Series

Sponsored by

Eaton, Ford, General Motors, and Whirlpool

 

Fault Tolerant Control of Large Complex Systems

 

Dr. Andrea Paoli

University of Bologna, ITALY

Center for Research on Complex and Automated Systems

Department of Electronic, Computer Science and Systems

 

Abstract:

 

In large systems, every component provides a certain function and the overall system works satisfactorily only if all components provide the service they are designed for. Therefore, a fault in a single component usually changes the performance of the overall system. In order to avoid production deteriorations or damage to machines and humans, faults have to be found as quickly as possible and decisions that stop the propagation of their effects have to be made.

 

A weak element in this framework are control loops. In fact automated systems are vulnerable to faults such as defects in sensors, in actuators and in controllers, which can cause undesired reactions and consequences as damage to technical parts of the plant, to personnel or to the environment. In this framework, the design of a Fault Tolerant control architecture is of crucial importance and  solutions aiming at adapting the control strategy to the presence of  the fault are needed in order to achieve prescribed performances also for the faulty system. This is usually achieved by providing the control loop with a decision making layer that analyzes the behavior of the plant and adapts the control strategy to hold the controlled system in a region of acceptable performance.

 

After a general introduction to the Fault Tolerant Control problem with some definitions and description of structural properties of fault tolerant systems, the talk will focus on fault tolerant control architectures in the framework of distributed systems, summarizing some of the ideas and results obtained in the context of the European Project IFATIS (proposal number IST-2001-32122).

 

Friday, March 25, 2005

3:30 – 4:30 p.m.

 RM. 1500 EECS