This paper presents an applicable procedure for Fault Detection and Diagnosis (FDD) in a realistic nonlinear six degree-of-freedom unmanned aerial vehicle (UAV) model. The work has been developed based on the Matlab/Simulink environment of the NASA Generic Transport Model (GTM) UAV under the NASA Aviation Safety Program (AvSP). By introducing the partial loss fault in aircraft actuators into th...

This paper addresses the system identification problem, as well its application to robust fault detection, considering parametric uncertainty and using zonotopes. As a result, Zonotopic Recursive Least Squares (ZRLS) estimator is proposed compared with Setmembership (SM) approach when applied taking reference minimum detectable generated in worst-case. To illustrate effectiveness of parameter e...

It is shown that the “intelligent” controllers which are associated to the recently introduced model-free control synthesis may be easily implemented on cheap and small programmable devices. Several successful numerical experiments are presented with a special emphasis on fault tolerant control. Keywords— Model-free control, intelligent PID controllers, small programmable devices, estimation, i...

Various types of faults arise in industrial processes owing to malfunction of internal components of a process as well as those in measurement sensors and control actuators attached to the process. Over the last three or four decades industrial automation has been increasingly fueled by various technological developments including the availability of highly complex electronic equipment and the ...

The paper deals with the problem of robust predictive fault-tolerant control for nonlinear discrete-time systems described by the Takagi-Sugeno models. The proposed approach consists of three steps, i.e. it starts from fault estimation, the fault is compensated with a robust controller, and finally, when the compensation is not successful then a suitable predictive action is performed. This app...

The TRANSCEND system for fault detection and isolation in continuous systems uses qualitative reasoning methods to analyze transients caused by abrupt faults. Qualitative transient analysis avoids some of the computational difficulties associated with numerical schemes, but they lack discriminating power. This paper presents the formal basis for qualitative transient analysis, and then establis...

In this paper, we propose a novel approach to fault simulation of large mixed signal circuits using circuit partitioning and fault ordering. The conventional statistical fault model is divided, to separately account for global and local variations. We consider the problem of estimating the e ect of a parameter deviation in a sub-module, on the system level speci cations for a general non-linear...

In this paper, we consider parameter estimation techniques for detecting changes of a nonlinear nature in an Euler-Bernoulli beam model. The nonlinear stiiness used provides a very simple model of damage, and the adaptive estimation algorithm is used to track the onset of the nonlinearity. Using Lyapunov redesign methods, extended and applied to innnite dimensional systems, a stable learning sc...

This paper extends the generalized parity vector approach for fault detection and isolation presented in Omana and Taylor [2], [3], [4], to achieve sensor accommodation. In this study, this fault detection, isolation and accommodation technique is applied to a two-phase separator followed by a three-phase gravity separator model used in oil production facilities. This model simulates a large sc...