In this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for V47/660kW wind turbine operated in Manjil wind farm, Gilan province, Iran. According to the acquired data from Iran wind turbine industry, common faults of the wind turbine such as sensor fault...

A new dynamic decoupling method is proposed for controlling complex uncertain systems. Where mathematical modeling is often tedious or inaccurate, the new method uses an unknown input observer (UIO) to estimate and cancel dynamic information in real time. Consequently, controller design and tuning become transparent as the number of required model parameters is reduced. A realistic turbofan sim...

Abstract: In this paper we address the problem of Unknown input Observer (UIO) for a class of nonlinear time delay systems. We propose an observer design method using a particular Lyapunov function that leads to solving a Linear Matrix Inequality (LMI) condition ensuring the H∞ convergence of the estimation error. Indeed, we use a Lyapunov function depending on the disturbances in order to avoi...

This work studies the problem of fault estimation using a fast adaptive fault diagnosis observer. The estimator bloc considered for this purpose is an Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection design for an additive actuator fault. Stability of the adaptive estimation is provided by a Lyapunov function ending wi...

In this paper we propose a gain matrix selection procedure for a class of full order unknown input observers (UIO). These kinds of observers employ sliding-mode principles to force the observation error into the sliding surface. Then, the error starts a sliding motion along the surface until it asymptotically converges to zero. Although this method exhibits good performance, there is not any ex...

AbstractIn this paper, a robust sensor fault detection and isolation (FDI) method based on the unknown input observer (UIO) approach is presented. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). By doing so, we generate a ...

The insertion of communication networks in the feedback loops of control systems is a defining feature of modern control systems. These systems are often subject to unknown inputs in a form of disturbances, perturbations, or attacks. The objective of this paper is to design and analyze an observer for networked dynamical systems with unknown inputs. The network effect can be viewed as either a ...

This paper deals with a novel approach to unknown inputs observer(UIO) design for linear time-invariant dynamical systems using a block pulse function's diierential operation. Generally, UIO has a derivation of system outputs which is not available from the measurement directly. And it is an obstacle to estimate the unknown inputs properly when unexpected measurement noises are presented. There...

The purpose of the paper is to present an approach to detect, isolate and accommodate the sensor or actuator faults using bank of observer and unknown input observers (UIO). Full order observers, reduced order observers, unknown input observers and Kalman Filter are widely used in state estimations [1]. After the estimation of states, fault detection and isolation can be provided by conducting ...