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This paper investigates the detection filter design problem for the detection and isolation of faults in linear parameter varying (LPV) systems by means of dynamic inversion where the system matrix depends affinely from the parameters. A method for the construction of the inverse, relying on the concept of parameter varying invariant subspaces and related concepts of classical geometrical system theory...
A Fault Detection and Isolation (FDI) method for a generic 3D aircraft is presented. The behavior of the aircraft is described by a nonlinear control-affine model, which is closed-loop controlled by a classical guidance, navigation and control (GNC) algorithm. The proposed FDI procedure exploits the redundancy induced by this control module, along with the accelerations measured by the Inertial Measurement...
A unified approach to the problem of fault diagnosis is considered for the cases of continuous-time and discrete-time nonlinear and linear system models as well as for discrete-event model. The feature of this approach is that it allows obtaining the unique on the algorithmic level solution of the problem for all above types of the models. Conventional differential geometric and pair algebra of partitions...
Internal Model Control (IMC) has been extended recently to a fault-tolerant IMC scheme (FTIMC), which ensures that the main IMC properties like stability, robustness and setpoint tracking are retained if faults occur. This paper proposes a new type of IMC controller for input-affine systems with input-saturation, which is based on a systematic analysis of the demands on the IMC filter, the construction...
This paper proposes two observer-based FDI strategies for nonlinear systems represented by a particular class of multiple model using heterogeneous submodels. The structure of this interesting multiple model is firstly presented in order to design two kinds of state observers. The first observer, known as proportional observer (PO), is an extension of the classic Luenberger observer, in this way,...
This paper deals with switching detection and recognition of current operating mode in hybrid systems, where the nonlinear modes are represented by a Takagi Sugeno model. A data-based projection method is used to generate a set of signals, named residuals. This method uses only the input/output known signals and the kind of model (linear, bilinear, ...); the precise value of the model parameters is...
The characterization of frequency response functions for convergent systems is considered in this paper. Besides a couple of approaches available in the literature, this paper is focused on the frequency response function proposed recently for a class of non-linear systems which are called convergent. Using some properties of convergent systems a characterization of a frequency response function based...
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