Development Of Fault-tolerant Control System Research Articles

DIAGNOSIS AND FAULT-TOLERANT CONTROL FOR THRUSTER-ASSISTED POSITION MOORING

Development of fault-tolerant control systems is crucial to maintain safe operation of offshore installations. The objective of this paper is to develop a fault- tolerant control for thruster-assisted position mooring (PM) system with faults occurring in the mooring lines. Faults in line's pretension or line breaks will degrade the performance of the positioning of the vessel. Faults are detected and isolated through fault diagnosis procedures. When faults are detected, they are accommodated through the control action in which only parameters of the controlled plant have to be updated to cope with the faulty condition. Simulations are carried out to verify the advantages of the fault-tolerant control strategy for a PM system.

Control of dynamic systems in spatial networks: Applications, results, and challenges

A dynamic network is characterized by a spatially distributed set of nodes with sensors and actuators which measure and effect the dynamic system. These nodes are coordinated through the performance objectives and the possible dynamic coupling between the nodes in the presence of large uncertainties in the environment, in the observations, and through the communication channels between nodes. Examples of spatial networks that will be presented are: The control of a formation of aerial vehicles that reduces the total drag to approximately that of an equivalent slender wing constructed by joining together all the wings in the formation; the development of fault-tolerant control systems for the intelligent vehicle highway system; and robust boundary layer control to reduce friction drag in both transitional and turbulent flows in channels and wings is obtained by a network of shear stress sensors and actuators along the boundary. The control of dynamic networks can be viewed as essentially in its infancy and general procedures based on computational algorithms used for implementation is a long term goal. However, near term goals and challenges can be posed which represent important elements of the more complete problem.

Control of Dynamic Systems in Spatial Networks: Applications, Results, and Challenges

A dynamic network is characterized by a spatially distributed set of nodes with sensors and actuators which measure and effect the dynamic system. These nodes are coordinated through the performance objectives and the possible dynamic coupling between the nodes in the presence of large uncertainties in the environment, in the observations, and through the communication channels between nodes. Examples of spatial networks that will be presented are: The control of a formation of aerial vehicles that reduces the total drag to approximately that of an equivalent slender wing constructed by joining together all the wings in the formation; the development of faulttolerant control systems for the intelligent vehicle highway system; and robust boundary layer control to reduce friction drag in both transitional and turbulent flows in channels and wings is obtained by a network of shear stress sensors and actuators along the boundary. The control of dynamic networks can be viewed as essentially in its infancy and general procedures based on computational algorithms used for implementation is a long term goal. However, near term goals and challenges can be posed which represent important elements of the more complete problem.