Abstmct The paper preknts a novel AI-ANN neural network global on-line fault detection, pa& tern classification, and relaying detection acheme for synchronous generators in interconnected electric utility networks. The input discriminant vector comprises the dominant FFT frequency spectra of eighteen input variables forming the discriminant diagnostic hyperplane. The on-line ANN based relaying ...

In this paper, an adaptive fault-tolerant control scheme is extended to large-scale interconnected systems with actuator failures and external disturbances. Based on Lyapunov stability theory, a state feedback decentralized controller is designed to compensate for the fault and the disturbance effects, using the overlapping decomposition method. Applying the inclusion principle, the interconnec...

Power system is subjected to sudden changes in load levels. Stability is an important concept which determines the stable operation of power system. In general rotor angle stability is taken as index, but the concept of transient stability, which is the function of operating condition and disturbances deals with the ability of the system to remain intact after being subjected to abnormal deviat...

This paper addresses actuator outages, or any actuator fault under the reconfiguration strategy. Based on the lattice structure of the set of system configurations, the concept of an extensive control law is introduced and shown to allow the design of a fault tolerant control strategy that mixes the passive and active approaches (PACT strategy). Extensive controls for α-stability and quadratic ...

For the actuators fault of reconfigurable modular robots, a backstepping decentralized fault tolerant control (DFTC) algorithm is proposed. The reconfigurable robot system is divied into a set of interconnected subsystems. The fault tolerant controller is designed based on backstepping method. It is hard to obtain the model parameters uncertainty term and interconnected term, so the adaptive fu...

In this paper, a robust fault-tolerant control strategy for constrained multisensor linear systems, subject to sensor faults and in the presence of bounded state and output disturbances, is proposed. The scheme verifies that, for each sensors–estimator combination, suitable residual variables lie inside pre-computed sets and selects a more appropriate combination based on a chosen criterion. An...

Most of the techniques on identifying fault location depend on parameters of power transmission line. Thus, a complex mathematical solution will be considered which at such conditions, the dependence on line parameters will limit performance of algorithms. An independent or parameters free algorithm is an option to overcome this problem by using an artificial intelligent technique. This paper p...

For a class of uncertain nonlinear systems with actuator faults, robust active fault-tolerant control is investigated based on the adaptive observer, feedback linearization, and backstepping design theory. Time-varying faults and bounded uncertainty are simultaneously considered in the paper. An adaptive observer is firstly constructed to estimate the faults and then a backstepping-based active...

With the development of computer technology, the architecture of computer system has been evolved into a highly complex nonlinear system structure. According to the theory of artificial intelligence, computer system can quickly reflect the basic features of the function in human beings’ brain by simulation. Based on the control principles of fuzzy neural network algorithm, the principle of slot...

Exponentially stable trajectory following of robotic manipulators under a class of adaptive controls. In this paper we investigate the problem of fault diagnosis in rigid-link robotic manipulators. A learning architecture, with neural networks as on-line approximators of the oo-nominal system behavior, is used for monitoring the robotic system for faults. The approximation of the oo-nominal beh...