A Simulation Benchmark for Integrated Fault Tolerant Flight Control Evaluation

Fault-Tolerance of a Transport Aircraft with Adaptive Control and Optimal Command Allocation

“…The manoeuvre, here considered, is the same described in the previous subsection, but the failure scenario consists in the loss of the vertical tail (Smaili et al, 2006). The initial flight condition data are summarized in Table 4.…”

“…The works has been performed within the GARTEUR Action Group 16, project focused on Fault-Tolerant Control. In that project a benchmark environment (Smaili et al, 2006) has been developed modelling a bunch of surface actuators faulty conditions. A brief summary of all these conditions is given in Table 3, while a detailed explanation of the benchmark can be found in (Smaili et al, 2006).…”

“…In that project a benchmark environment (Smaili et al, 2006) has been developed modelling a bunch of surface actuators faulty conditions. A brief summary of all these conditions is given in Table 3, while a detailed explanation of the benchmark can be found in (Smaili et al, 2006). Several manoeuvres are considered in the benchmark to be accomplished in the various faulty conditions.…”

Model-based fault detection and identification with online aerodynamic model structure selection

“…The potential of this routine is shown in the example in the next section. This RECOVER (REcon¦gurable COntrol for Vehicle Emergency Relief) benchmark model is discussed in detail by Smaili et al [26,27] and has been used in the earlier publications of this research project, but also in earlier versions by a number of investigators and organizations [28 30]. The simulation benchmark for evaluating fault tolerant §ight controllers as discussed by Smaili et al [26] contains six benchmark fault scenarios, enumerated in Table 1.…”

Adaptive Backstepping Flight Control for Modern Fighter Aircraft

“…Especially a least-squares based identifier is of interest, since this type of identifier possesses excellent convergence properties and guaranteed parameter convergence to constant values. In [131,132,188] an adaptive NDI design with recursive least-squares identifier is used for the design of a reconfigurable flight control system for a fly-by-wire Boeing 747. However, theoretical stability and convergence results for the closed-loop system are not provided, since the least-squares identifier, like all traditional identifiers, is not fast enough to capture the potential faster-than-linear growth of nonlinear systems.…”