Grid codes in many countries require low-voltage ride-through (LVRT) capability to maintain power system stability and reliability during grid fault conditions. To meet the LVRT requirement, wind power systems must stay connected to the grid and also supply reactive currents to the grid to support the recovery from fault voltages. This paper presents a new fault detection method and inverter co...

Abstract: A new adaptive fuzzy fault-tolerant control scheme for complex non-linear systems is proposed in this paper. The approach presented here combines fuzzy T-S dynamic model with Riccati equation. In each local linear model of the fuzzy dynamic model, Riccati equation is used in the design of fault-tolerant control. These local models are linked together by fuzzy membership functions to f...

This paper describes an on-line fault detection scheme for a class of nonlinear dynamic systems with modelling uncertainty and inaccessible states. Only the inputs and outputs of the system can be measured. The faults are assumed to be functions of the state, instead of the output, and the input of the system. A nonlinear on-line approximator using dynamic recurrent neural network (DRNN) is uti...

This paper investigates the path tracking problem for an electric vehicle which has four electromechanical wheel systems under normal and faulty conditions. With considering wheel slip constraints and certain actuator faults, a passive fault-tolerant controller based on variable structure control is developed to maintain the system stability and guarantee the acceptable tracking performance. Th...

The problem of unknown input estimation and compensation is studied for actuated nonlinear systems with noisy measurements. The proposed solution is based on high order sliding-mode differentiation and discretetime optimization technique. Accuracy of the proposed hybrid estimation scheme is evaluated and stability of the compensating mechanism is established. It is shown that the fault detectio...

This paper proposes a fault-tolerant control (FTC) scheme for polytopic linear parameter varying (LPV) systems. We first propose a fault compensator whose structure is simple, but effective against actuator faults. Then, in order to show its basic idea, we consider a state feedback FTC scheme based on the fault compensator. Next, the FTC algorithm is extended to output feedback FTC scheme. The ...

In current paper, we put forward a design method to Fault Diagnostic Systems(FDS) by proposing a new fault model and using the incremental hybrid learning algorithm which tightly combines symbolic learning and neural networks. It’s capable of overcoming several shortcomings in the existing diagnostic systems, such as the lack of universality, the unbalance in the use of fault prior knowledge an...

In this paper, the problem of guaranteed cost fault-tolerant control for networked control systems (NCSs) is discussed based on Lyapunov stability theory and Linear Matrix Inequality (LMI). The sufficient conditions possessing robust integrity against actuator failures are given by adopting memory state feedback control law, which can meet a cost function for closed-loop networked control syste...

This paper studies the reliable dynamic output-feedback control of linear systems based on either component fault, that is, either sensor or actuator faults. A more practical continuous fault model of sensor and actuator than discrete model is considered. The resulting control systems are reliable in that they provide guaranteed asymptotic stability and H∞ performance when all control component...

A recent architecture based on the Youla parameterization is analyzed for the nominal and uncertain case. This special architecture is characterized by a separation principle for the controller. In this paper, several stability results that allow to extend the structure to the integrated control/filter approach are presented. Two algorithms based on the recursive design and nesting of the integ...